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        <dc:creator>Corden, W. Max</dc:creator>
        <dc:contributor>Corden, W. Max</dc:contributor>
        <dcterms:title>Una zona de libre comercio en el Hemisferio Occidental: posibles implicancias para América Latina</dcterms:title>
        <dcterms:isPartOf>En: La liberalización del comercio en el Hemisferio Occidental - Washington, DC : BID/CEPAL, 1995 - p. 13-40</dcterms:isPartOf>
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S
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I
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ISSN 1680-8851
MACROECONOMICS
OF DEVELOPMENT
Decentralized provision
of education
Methodological suggestions for analysis, 
with application to Mexico
Giorgio Brosio
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ECLAC
Publications
  
Decentralized provision 
of education 
Methodological suggestions for analysis, 
with application to Mexico 
Giorgio Brosio 
196 
 This document has been prepared by Giorgio Brosio, Consultant with the Economic Development Division of the 
Economic Commission for Latin America and the Caribbean (ECLAC), in the framework of the cooperation 
programme between the Embassy of Norway and ECLAC under the project entitled “Vocational education and 
training for equality in Latin America and the Caribbean”. 
The report has benefited of the very appropriate comments by Michael Hanni and Juan Pablo Jimenez and of the 
editorial work made by Nancy Rivas.  
The views expressed in this document, which has been reproduced without formal editing, are those of the authors 
and do not necessarily reflect the views of the Organization. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
United Nations publication 
ISSN 1680-8851 (electronic version) 
ISSN 1680-8843 (print version) 
LC/TS.2018/108 
Distribution: L 
Copyright © United Nations, 2018 
All rights reserved 
Printed at United Nations, Santiago 
S.18-01138 
 
Applications for authorization to reproduce this work in whole or in part should be sent to the Economic Commission for 
Latin America and the Caribbean (ECLAC), Publications and Web Services Division, publicaciones.cepal@un.org. Member States 
and their governmental institutions may reproduce this work without prior authorization, but are requested to mention the source 
and to inform ECLAC of such reproduction. 
 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
3 
Contents 
Abstract ....................................................................................................................................................... 5 
Introduction ................................................................................................................................................. 7
I. Analytical issues............................................................................................................................. 11
A. Outcomes of education ........................................................................................................... 11
B. The meaning and effectiveness of decentralization ............................................................... 12
C. Concomitan reform ................................................................................................................ 14
D. Vocational education .............................................................................................................. 15
II. Education in Mexico ...................................................................................................................... 19
A. Essential features of the Mexican education system .............................................................. 19
B. Outcomes: global ................................................................................................................... 21
C. Outcome by states: the regional distribution .......................................................................... 24
D. Student scores, resources and regional efficiency .................................................................. 27
E. Student scores and personal equity ........................................................................................ 29
F. Index of decentralization: fiscal versus decision-making power ........................................... 31
G. Concomitant reform ............................................................................................................... 33
H. Vocational education .............................................................................................................. 34
Conclusions .................................................................................................................................... 37
Bibliography ............................................................................................................................................. 39
Annex ........................................................................................................................................................ 41
Series Macroeconomics of Development: issues published ..................................................................... 44
III.
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
4 
Tables 
Table 1 Importance of vocational education in Latin America and the Caribbean ............................ 16 
Table 2 Mexico: students at all levels of schools, 2016-2017 ............................................................ 20 
Table 3 Student scores in mathematics: Mexico compared, 2003-2015 ............................................ 22 
Table 4 Student scores in sciences: Mexico compared, 2003-2015 ................................................... 22 
Table 5 Student scores in reading: Mexico compared, 2003-2015 ..................................................... 23 
Table 6 Mexico: student scores by State, 2012 and 2003 ................................................................... 24 
Table 7 Mexico: summary statistics of student scores ....................................................................... 25 
Table 8 Mexico: summary statistics of 15-year-old non-attending secondary schools ...................... 26 
Table 9 Mexico: unit cost of student scores by State, 2012 ............................................................... 27 
Table 10 Summary statistics of unit cost of scores .............................................................................. 28 
Table 11 Share of students with scores lover than level 1 .................................................................... 30 
Table 12 Summary statistics of scores lover than level 1 ..................................................................... 30 
Table 13 Index of decentralization and autonomy in education applying to 2015 ............................... 32 
Table 14 Personal income, revenue from CCTs and scholarships and changes  
in education scores ................................................................................................................ 34 
Table 15 Correlation between income, revenue from CCTs and scholarships  
and changes in education scores ............................................................................................ 34 
Table 16 Vocational education in Mexico, 2016-2017 ........................................................................ 35 
Table A.1 Mexico. Percentage of pupils who don’t reach minimum proficiency levels  
in Pisa tests ............................................................................................................................ 42 
Table A.2 Mexico: percentage of 15 years old individuals, who are out of school  
or still in primary school ....................................................................................................... 42 
Table A.3 Mexico: index of school autonomy and decentralization ...................................................... 43 
 
Figures 
Figure 1 Mexico: selected education indicators compared with the OECD average ........................... 20 
Figure 2 Mexico: national expenditure in education according origin of resources ............................ 21 
Figure 3 Mexico: correlation between performance in mathematics and national income .................. 23 
Figure 4 Mexico: relationship between Maths scores and per capita GDP ......................................... 25 
Figure 5 Mexico: relationship between Science scores and percapita GDP ........................................ 26 
Figure 6 Mexico: relationship between unit cost of student scures and scores, 2012 .......................... 28 
Figure 7 Correlation between per capita GDP and aportaciones ......................................................... 29 
Figure A.1 Relationship between maths scores and per capita GDP ....................................................... 43 
 
 
 
 
 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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Abstract 
A large part of disparities in Latin America derive from inequalities of opportunities in access and 
continuation to education. In turn, education determines access to labor market and to the most valuable 
segments of it.  Important results have been achieved by allowing access to secondary education by 
children of poor families and/or living in remote areas, while access to tertiary education remains still 
insufficient and selective. 
Public support to education is crucial to reduce personal and territorial inequalities, because talent 
is not linked to the socio-economic status and/or to the residence of families, while access to education is.  
Decentralization is credited to be a crucial component of an improving education national strategy.  
At the same time, decentralization of education, when not properly structured, can simply shift the same 
old problems to levels of government less capable of solving them. Similarly, decentralization of education 
finance can end up reinforcing preexisting inequities. Indications from actual experiences are extremely 
important and empirical analysis of reform strategies becomes crucial. At the same time, this assessment, 
particularly in the case of international comparisons, is constrained by analytical problems and information 
constraints about the effective outcomes of education. 
The paper provides a methodological approach to the comparative analysis of decentralized systems 
with a view also to extracting valid suggestions for reform. Given its exploratory character, the paper is 
focused on a small number of issues. They are: a) the selection of proper variables for measuring education 
outcomes and the success of educational policies; b) the meaning of decentralization and its measurement; 
c) concomitant reform; d) the links between general and vocational education, and the possibility of 
expanding the role of the latter. 
To test its analytical validity and its feasibility in terms of information the proposed approach is 
applied to the case of Mexico.  
 
 
 
 

CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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Introduction  
Education fosters personal advancement and economic growth by increasing human capital. Personal 
and social returns on education are generally high. At a societal level, improvement of education can 
contribute substantially to overcome the middle-income trap that afflicts many Latin American 
countries. This is a situation, where lack of competitiveness impedes furtherance of growth and in 
turn derives from insufficient innovation and low labor productivity. According to IADB estimates 
(BID, 2016) the average productivity in Latin America barely reaches 50 per cent of its potential and 
is situated largely below the level observable in the EU countries and, more importantly in terms of 
competition on global markets, in India and China. Expansion of human capital is a necessary 
condition to escape the middle-income trap. 
Public support to education is crucial to reduce personal, territorial and also global inequalities, 
basically because talent is not linked to the socio-economic status and/or to the residence of families, while 
access to education is. Education improves personal and social conditions, and, at the same time, these 
conditions constrain educational attainment. 
A large part of disparities in Latin America derive from inequalities of opportunities in access and 
continuation to education. In turn, education determines access to labor market and to the most valuable 
segments of it. “Education represents today the lever of inequality and, at the same time, a multiple link 
to development” (CEPAL, 2010, page 224).  
Important results have been achieved, in many Latin American countries, by allowing access to 
secondary education by children of poor families and/or living in remote areas, while access to tertiary 
education remains still insufficient and selective. Also, improvements in student scores have improved in 
Latin America, but scores remain in general at insufficient levels, below those of OECD countries, as 
observable in table A1 in the Annex. There is, obviously, a problem in education policy, when the number 
of pupils in schools increases, but their achievement in terms of skills developed does not increase 
correspondingly, implying that effective opportunities do not expand.  
Another pending problem is the weak link existing between the demand of skills coming from the 
economy and the supply provided by the education sector, commonly known as the education-occupation 
mismatch. Business firms lament that they are very frequently not able to encounter the skills that they 
require, while unemployment remains high, even with people with formal education. As a matter of fact, 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
8 
as estimated by Unesco (2017) 36% of business firms operating in the formal sector have difficulties in 
recruiting people with the needed skills. This compares unfavorably with a corresponding figure of  
21% at the world level and with the 15% observed for the OCDE countries. Gaps are especially wide in 
sectors operating with modern, complex technologies (OECD, 2014). 
Another issue, worth more analysis, is the link between education and the informal sector. The 
obvious question is whether proper structuring of education can contribute to the downsizing of the 
informal sector. The answer in the literature is generally negative, based on the consideration that the 
choice between the formal and the informal sector is mostly determined by tax and labor regulations. As 
a consequence, human capital building, however derived from, has a very limited role to play and only in 
the long term. However, things are not that simple. Levy (2008) shows, for example, that people with 
lower educational attainments have a higher chance to stay in the informal sector, rather than in the formal 
one. Hence, if for example vocational training leads to lower attainments, investing in it could work in 
favor of continuation of the informal economy. 
Education includes, traditionally, two main and frequently poorly related components. The first is 
general education to which most analysis and policy options refer; the second is vocational education. The 
latter component operates as a direct link between students (with different achievements in general 
education) and the labor market and builds also on participation by firms. It also helps building a more 
specific human capital than that provided by general education. The borders between the two components 
are continuously shifting and scholars and policy-makers frequently question their existence, meaning the 
separateness of general and vocational education. This applies also to Latin America, where vocational 
education has been traditionally neglected in favor of general education, but is presently asked to play a 
more active role in the absorption of unemployment and growth of the economy. 
Improving education requires crucial, strategic choices, concerning, for example, the level of 
schools where to concentrate effort. A huge societal effort is needed to increase resources dedicated to 
education and this involves all levels of government and all sectors of the society and all stakeholders 
including, first of all, families.  
This is shown by the experiences of Korea, Japan, Singapore and Taiwan. These countries show 
the highest student scores in the world along with acceptable levels of equality. They have strongly 
emphasized primary education as a beginning, and have built a strong commitment to improve education 
on behalf of the whole society. They have also a fairly high level of public and private expenditure, and 
show a huge direct involvement of families. 
Decentralization is widely credited to be a crucial component of an improving education national 
strategy. In its broad meaning it implies reallocating decision-making power and resources to lower levels 
of government and also to schools. Major overhauls of the incentive structures of all stakeholders, 
including schools and teachers, are needed and can be reached following different strategies, going from 
devolution of power to subnational governments to school-based management. 
At the same time, decentralization of education, when not properly structured, can simply shift the 
same old problems to levels of government that are less capable of resolving them. Similarly, 
decentralization of education finance —that is, increased reliance on more local and parental financial 
contributions— can end up reinforcing preexisting inequities. 
Given the complexity of the issues involved and the variety of strategies available, indications from 
actual experiences are extremely important. Empirical analysis of the reform strategies becomes crucial. 
At the same time, this assessment, particularly in the case of international comparisons, is constrained by 
analytical problems and information constraints about the effective outcomes of education. 
Happily, the huge work done at the OECD, in the last two decades, with the PISA scores provides 
an enormous quantity of information on education attainments and in particular on student scores. These 
scores measure responses to a set of questions asked to students of similar age and provide information 
allowing comparisons between and inside countries, including personal levels. Student scores show 
effective outcomes of the learning process and provide a better measure of educational attainments than 
other frequently used indicators, such as attendance rates, rates of repetition, or length of stay in school.  
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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It is a triviality to say that simply sitting on a school bench, however protracted, does not imply automatic 
learning. Also, OECD provides not only national and regional average of student scores, but also 
information on their distribution inside countries, allowing analysis of different types of inequality.  
Analytical issues include the singling out of a (or a few) goal of education policies, including 
decentralization. These goals could, however, also be non-coincident with the goals pursued by individual 
governments. This can also be the case of Latin America. In turn, information about outcomes of education 
has to be available and comparable among countries and individuals and inside countries, allowing 
analysis of its impact on personal and territorial equity. Even more complex and problematic is to give 
adequate consideration to all the factors that, in addition to decentralization, can impact on outcomes. 
These factors include the policies conducted at the same time by other levels of government and agencies. 
This latter problem is referred to in the literature as the “concomitant reform problem”. 
With all these opportunities, problems and limitations in view, the aim of the present paper is 
to elaborate a methodological approach to the comparative analysis of decentralized systems and of 
decentralization processes applicable in American Latin countries with a view also to extracting valid 
suggestions for reform. Given the exploratory character of the paper, it is focused selectively on a 
small number of issues. They are: a) the selection of proper variables for measuring education 
outcomes and the success of educational policies; b) the meaning of decentralization and its 
measurement; c) concomitant reform; d)the links between general and vocational education and the 
possibility of expanding the role of the latter. 
To test its analytical validity and its feasibility in terms of information the proposed approach is 
applied to the case of Mexico. The emphasis is on the impact of education on territorial and personal 
disparities in outcomes policies and resources. Given the small number of observations at the territorial 
level (there are 32 states in Mexico) and information constraints, the statistical analysis performed here 
will make use of simple indicators. Obviously, reference to a sample of countries, rather to a single one, 
would allow more sophisticated analysis, but the present availability of data for Latin American and  
the Caribbean countries does not yet allow it. 

CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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I. Analytical issues 
A. Outcomes of education 
In very general terms, a simple production model can represent the education process, where schooling 
outcomes are determined by a large number of diversified inputs.  
In a comparative analysis, both between and within countries, it is useful to regroup inputs into a few 
categories. Analysis of their single impact (i.e. ceteris paribus) and of the interactions between them allows to 
extract a better insight on issues and to reach meaningful policy considerations.  
The output of the educational process —scores achieved by individual students— is directly although in 
complex ways related, first, to inputs that are controlled by policymakers. This is the case of the characteristics 
of schools, such as class sizes, school facilities and their location, quality and number of teachers, and quality 
and content of curricula. To a large extent these characteristics are dependent on financial resources. They are 
dependent, to an even larger extent, on regulation, meaning the legal and institutional framework. The second 
category of inputs, the institutional/regulatory context, determines the incentives guiding the behavior of 
teachers, principals, other personnel and officials involved. Here, institutional arrangements, such as devolution 
or school-based management, are meant to be crucial in creating the proper incentive structure. 
The third category of inputs refers to the users of education and includes characteristics of families, such 
as parental education, income, social status, family size, student health conditions and motivations.  
The impact of these inputs on outcomes can be strengthened by public policies improving incentives 
and/or altering the context in which families and students operate. The growing awareness of the importance of 
these inputs is demonstrated by the increasing public intervention aimed at correcting the negative impact of 
characteristics of family on student achievement. Allocations to poor families, such as Conditional Cash 
Transfers (CCTs), have an impact, although not necessarily on the positive side, as argued in a short while. 
Scholarships, a more traditional instrument, may increase motivation of families. Many of these policies do not 
emanate from education authorities, some of them are targeted to non-education goals, but they can impact 
substantially on education. They are usually referred to in the literature as the concomitant reform. 
 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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An equation of the following kind summarizes the production process: 
EO = S (FR, I, Z, CR) ε,                       (1) 
Where: EO means effective outcomes, FR are financial resources, I depict the institutional/regulatory 
context, Z describes the family/individual context, CR is concomitant reform, and ε is an estimation error. All 
dependent and independent variables can be single, or vectors of, variables. Moreover, some elements of vectors 
FR, I, Z and CR are endogenous variables, requiring the solution of a system of equations. 
Historically, the most frequently employed measure of schooling outcomes has been attainment, or simply 
years of schooling completed. This is a rough measure of individual skills, whose impact on labor market 
outcomes has been the object of a number of studies (summarized by Hanushek, 2008). However, there are 
problems with this type of indicators of education outcomes, since they assume that the same number of years 
of staying in schools produces everywhere the same amount of human capital, or skills. In other words, these 
indicators do not consider the process of learning and its results. 
More recently, the attention has turned to cognitive achievement, as measured by the OECD sponsored 
PISA program1 student scores. Student scores are now available for most Latin American countries as refers to 
the national level. For some countries, notably Mexico, scores are also available at the regional level. Countries, 
such as Colombia, have started the collection of similar data with their own programs (Saber)2, or with joint 
initiatives at the national and international level as in the case of SERCE and TERCE.3 
Recent literature shows that differences in achievement impact on access and success in the labor market, 
on personal income and, consequently, on national or regional growth rates. For example, Lazear, 2003; 
Mulligan, 1999; Murnane et al., 2000 demonstrate that quality differences in schools have a dramatic impact on 
productivity and national growth rates.  
The production function is a tool for checking the impact on outcomes of policies and of changes in other 
inputs. If, for example, the goal is to assess the impact of decentralization, the analyst has to keep all other inputs 
constant and vary the variable measuring decentralization and then observe the results on outcomes.  Defining 
the variable measuring decentralization becomes crucial. 
B. The meaning and effectiveness of decentralization 
This paper considers decentralization as the transfer of decision-making authority from higher level to 
lower level governments and to autonomous bodies. The focus is on decision-making power and not necessarily 
on transfer from higher to lower levels of government of resources to spend, or to collect, as normally implied 
by the literature on (particularly fiscal) decentralization (see Ahmad Brosio and Tanzi, 2008).  
Recognition that this shift in decision-making power is essential to decentralization is crucial for 
identifying and using proper indicators of decentralization (see Behrman Deolalkar Lee-Ying Soon, 2002;  
Brosio, 2014). For example, a simple reassignment of health expenditure from the central to regional budgets 
does not imply per se an increase in the degree of decentralization, if it is not accompanied by the transfer of 
some decision-making power relating to this expenditure to subnational levels. 
If tied transfers finance the reassignment, regional budgets would show a higher amount of expenditure, 
but because regions have to follow centrally set instructions for the use of these resources, no decentralization 
takes place. Regions would act simply as hierarchical subordinated agents of the central government. Similarly, 
the devolution of the responsibility of paying teachers’ salaries —which the literature usually considers an 
example of fiscal decentralization, because it shifts expenditure from a higher to a lower level of government— 
cannot be considered a manifestation of education decentralization, no matter the size of the amounts involved, 
                                                        
1
  PISA valuates how students of 15 years of age, concluding their basic compulsory education, did effectively acquire the knowledge and the 
skills enabling them to fully participate in a modern society. Valuation is focused on three topics: science, reading and mathematics. It also 
aims at evaluating whether students have acquired the ability to apply what they have learnt to unforeseeable and unknown circumstances 
inside and outside the schooling system. This is a reflection of the fact that modern economies reward individuals not on the basis on what they 
know, but rather on the basis on what they can do with what they have learnt.  
2 
 http://www.icfes.gov.co/estudiantes-y-padres/pruebas-saber-3-5-y-9-estudiantes). 
3
  See, for example, Unesco, 2008.  
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
13 
if hiring (and firing) of teachers, managing their career and the determination of their salary scales are still done 
at the central level. 
Conversely, there can be real decentralization, when more decision-making power concerning the 
existing resources is devolved to regions, even if there is no change in the share of regional expenditure, or 
revenues. This situation poses a difficulty for empirical work, because the extent to which a spending 
assignment can be treated as a local responsibility depends on the financing arrangements, in particular 
whether tied transfers are involved. 
The ample use in the literature of subnational expenditure and revenue shares as indicators of 
decentralization is due to the larger availability of this kind of data and to the difficulty of representing the 
distribution of decision-making power among levels of government.  
An example of correct apprehension of the meaning of decentralization for analytical purposes is the work 
of Barankay and Lockwood (2007) on education in Switzerland, which is worth a short summary. The authors 
analyze the relationship between educational outcomes and decentralization. The main results they reach are, 
first, that is possible to overcome problems associated with information constraints; and, second, that 
decentralization does, in fact, contribute to improve educational outcomes. In Switzerland the responsibility for 
education has always been cantonal, with the federal government engaged in the equalization of resources.  In 
turn, Cantons can devolve some expenditure responsibilities to their local governments, and they effectively do 
so. It is thus possible to observe different degrees of decentralization in education between Cantons. 
Educational outcomes in the study are measured by the number of 19-year-olds that pass the final exams 
(Maturité) to enter universities.4  The share of education expenditure measures the index of decentralization by 
the local governments in each Canton over the sum of local and cantonal expenditure for education. In other 
words, the index shows the degree of education expenditure within each canton: 
 =

 − 
 
where Dct is the index of Canton c in year t, LEct is the sum of education expenditure in all counties of canton 
c in year t, and CEct is education expenditure at the cantonal level in year t. 
This is a purely fiscal variable, whose use, as we mentioned, entails the risk that it does not adequately 
represent the degree of effective autonomy of local governments. However Barankay and Lockwood overcome 
the difficulty by examining cantonal regulations in four crucial areas for education: 
1) appointing teachers; 2) determining pay levels for teachers; 3) granting  incentives to teachers;  
and 4) organizing the structure of schools. It emerges that decentralization of expenditure is closely associated 
with higher local decision-making power, especially for teachers’ incentive pay. Since local government 
expenditure for education is mainly for teachers’ salaries, when the number of teachers or the pay levels increase, 
the degree of decentralization also varies within cantons. Secondly, variation in expenditures for teachers’ 
salaries is induced by changes in the size of the student population. If it increases, local government will have to 
provide more teachers, because cantons impose minimum class sizes. Also, changes in student numbers induce 
changes in the indicator of decentralization. Variations in outcomes can thus be meaningfully associated with 
changes in decentralization, if the number of students does not affect outcomes. 
Finally, Barankay and Lockwood regress for 20 years (1982–2002) the Maturité results on their chosen 
index of fiscal decentralization after adding, which is the most important thing for our purposes, a number of 
variables that control use of inputs, cantons and year-fixed effects. Results show that educational attainment is 
positively and significantly related to the degree of decentralization. The absolute effect of education is also 
                                                        
4
  Some problems should be noted in applying this measure of outcome. Cantons are mostly responsible for upper-secondary education, whereas 
local governments are fully responsible for primary education. Their expenditure and policies are thus impacting minimally on Maturité. To 
partially account for this fact, Barankay and Lockwood (2006) relate results at Maturité to the degree of decentralization in the years when the 
concerned students were enrolled in primary schools, but clearly the main effect on Maturité derives from years spent in secondary education. 
Finally, there is no federal intervention in exams that could ensure uniformity of criteria. 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
14 
substantial: if the decentralization index increases by 10 percent, the share of students obtaining the Maturité 
increases by 3.5 percent. Thus, Cantons seem to play an important role in ensuring effective outcomes. 
If properly structured, decentralization can contribute to improve the outcomes of education by solving a 
number of important challenges, such as increased effectiveness of expenditure with lesser role of central 
bureaucracy; reduction of the role played by teachers unions (this is meant to be instrumental to reaching the 
preceding goal); fostering experimentation and quality; more targeted contribution of education to local 
development strategies; better adaptation of education to local preferences (also with the inclusion of local 
languages in curricula) and local development strategies, and control of the growth of public expenditure by 
engaging subnational governments and families in the financing. 
Many of these goals have also been assigned to decentralized arrangements and to decentralization 
processes observed in Latin America. 
In addition, devolution of responsibilities has to rely on own sources to improve accountability; it has also 
to be matched by massive equalization transfers. Otherwise, local governments in the poor areas would be forced 
to increase taxes and contributions from families and/or reduce the level of service provision. More vulnerable 
groups could be disadvantaged, imperiling both growth and equity. 
And a fragmented provision of education, with missing coordination and with missing standards could 
impact negatively on national cohesion.  
Decentralization can be, and in the practice is, pursued with different strategies among which we can 
distinguish two main alternatives (that, in turn, are not fully mutually exclusive). The first one is to rely on 
subnational governments devolving them increased responsibilities and appropriate funding and, particularly, 
more autonomous decision-making power in relevant areas. The second alternative, labeled school-based 
management strategy, consists in expanding the decision-making power of schools, through higher involvement 
of school principals, teachers and families. Both strategies have also been pursued with varying intensity and 
determination in Latin American countries. 
C. Concomitan reform 
A host of policies targeted to different sectors and aims can impact also on education. Their identification and 
appraisal is referred to in the literature as the problem of concomitant reform. Concomitant reform is a frequent 
occurrence in Latin America and it happens when, for example, during a decentralization process the central 
government, or another level of government, implements a policy that intersects with, or contradicts, the working 
of decentralized arrangements. For example, the allocation of conditional cash central transfers, one of the most 
popular programs in LA, can impact on enrollment and school attendance rates, but its merits, or demerits, cannot 
be assigned to local governments. 
These programs lay at the intersection of central and local policies: a central government policy, or a 
program is implemented in combination with a decentralization process. This can impact (positively or 
negatively) on the action of local governments. Hence, observed outcomes at the local level cannot be ascribed 
directly to local officials, putting in doubt the assessment of the merits of decentralization.  
The basic premise of CCTs is that properly identified poor households receive a grant, as long as they 
meet certain conditions. The central government pays the grant, while the conditions usually refer to activities 
performed by local governments. Progresa in Mexico, later renamed Oportunidades and more recently as 
Prospera, set the way for such programs.5 Whether a family receives aid depends on meeting specific 
requirements, such as ensuring children attend school and family members receive preventive health care. These 
conditions are expected to exert a positive impact on the action of local governments by increasing attendance 
in schools and health centers and increasing the pressure from families to get better local service delivery. 
However, things can turn out somewhat differently. 
                                                        
5
  See for an introduction Dávila Lárraga 2016. 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
15 
The Brazilian conditional cash transfer in education, Bolsa Escola, provides a telling example (De Janvry, 
Finan, and Sadoulet, 2007). When the program was fully centralized —i.e. the selection of beneficiaries was 
also done centrally— it had a strong impact in reducing student dropout during the school year, securing a 7.8 
percentage points improvement in complete year attendance. However, educational scores increased by a mere 
0.8 percentage points, because the transfer helped retain students from poor families, less able or less motivated 
to study, who might otherwise have dropped out of school. Neither result could be ascribed to the action of 
Brazilian local governments. 
Moreover, higher school attendance helped increase the chances of reelection of incumbent mayors, who 
in fact had no merits to claim. The problem is that, conscious of the fact that reelection would be facilitated, 
incumbents reduced their efforts in other areas of administration under their responsibility, thus reducing the 
overall performance. As already mentioned, this produces a perverse incentive for local officials, inducing them 
to lower their efforts and reducing penalization of more slack. A similar impact has been observed for the 
Philippines, where the allocation of the conditional grants, a central government responsibility, impacts local 
politics by substantially increasing the probability of incumbent mayors to be reelected (Labonne, 2012), which 
can be quite harmful for local competition because it jeopardizes the incentive for elected officials to ensure 
good governance. 
In Colombia a similar program, called Más Familias en Acción, promotes access to schools through 
transfers to families. Its impact on access to labor market via more schooling is considered to be positive.6 
D. Vocational education 
Countries have actually adopted very different vocational schooling structures. There are basically two 
models. The first one, followed among other countries by the United States, stresses the central role of 
general education on the argument that specific skills become too quickly obsolete and that it is necessary 
to give people the general ability to adapt to new technologies. General education provides students with 
broad knowledge and basic skills in mathematics and communication and serves as the foundation for 
further learning and for example. 
Consequently, vocational education as a separate track in secondary schools —referred to usually as 
Technical Education (TE)— is absent, or has been largely eliminated. In parallel, these countries rely on 
vocational education activities (VE) that develop specific job-related skills and prepare students to work in 
specific occupations with a focus on on-the-job training. These activities are usually of much shorter duration 
than Technical Education and show larger flexibility in adapting curricula to the needs of the economy. 
The second model is the “dual system,” led traditionally by Germany’s, but also operating in many 
European and developing countries. In this system, extensive vocational education and training is provided 
at the secondary level of general education —sometimes with direct involvement of industry  
through apprenticeships.  
The underlying rationale is that by concentrating on specific vocational skills, it is possible to improve 
the entry of workers into the economy and to make them productive at an earlier point. 
The two models suggest differing perspectives about a possible trade-off between short-term and long-
term costs and benefits for both individuals and the entire society. Basically, the skills generated by vocational 
education may facilitate the transition into the labor market but may later on become obsolete at a faster rate.  
 
                                                        
6 
 OCDE, 2015d Reviews of Labour Market and Social Policies: Colombia 2016, OECD, Publishing, París, http://dx.doi.org/10.1787/ 
9789264244825-en. 
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Table 1 
Importance of vocational education in Latin America and the Caribbean 
Country/ lnstltution People of 14-25 years of age (1) 
Participants to vocational 
formation activities 
Participants to vocational 
formation activities as a 
percent of young population 
Argentina - INET - MTEySS 6 894 780 450 638 6.54 
Bolivia (Plurinational State of) - INFOCAL 2 067 981 61 395 2.97 
Brazil - Sistema S 34 133 651 6 482 449 18.99 
Chile - SENCE 2 736 506 880 315 32.17 
Colombia - SENA 8 223 253 4 0 69 644 49.49 
Costa Rica - INA 802 358 132 85 16.56 
Cuba - MTSS 1 423 274 119 486 8.40 
Ecuador - SETEC-SECAP 2 940 825 85 414 2.90 
El Salvador - INSAFORP 1 241 042 322 534 25.99 
Guatemala - INTECAP 3 447 554 351 292 10.19 
Honduras - INFOP 1 744 420 205 744 11.79 
Mexico - CONALEP, DGCFT 23 276 590 758 348 3.26 
Panama - INADEH 665 232 63 074 9.48 
Paraguay - SNPP 1 336 661 177 173 13.25 
Peru - SENATI 5 586 997 510 852 9.14 
Dominican Republic - INFOTEP 1 922 713 694 388 36.12 
Uruguay - UTU, INEFOP 519 628 121 76 23.43 
Source: International Labour Organization, 2017. 
 
Also the Latin American and the Caribbean countries have the two systems of technical and vocational 
training (Biasco, 2010; ILO, 2017; BID, 2016). On the one hand, technical secondary education has always been 
associated with the Ministry of Education, and is conceived as a subsystem forming part of the secondary general 
education program, but which also offers technical qualifications in the different sectors and branches of 
production. In 2000, in the majority of Latin American and the Caribbean countries, the number of students 
attending technical secondary schools came to approximately 30% of the students in the region (Moura Castro, 
Carnoy, and Wolff, 2000). Figures updated in 2006 indicate that the proportion remains the same —Argentina: 
25%; Mexico: 28%,7 Uruguay: 23%; except in Chile (39%) and Brazil (32%), where figures are over 30%. The 
same pattern prevails nowadays, with possibly a higher incidence of technical secondary schools, following 
reforms processes started in many countries of the continent (see, for more detail, OIT, 2017). 
Vocational Education is characterized by three distinctive elements: a) independence from the general 
education system; b) flexibility, establishing it as a non-formal system of education that generally does not 
provides access to general education; and c) tripartite government (the State, business and workers), although 
this is the result of an initiative from the State.  
Since the turn of the last century most Latin American countries have started a process of gradual reform 
of their system of vocational education. Different national paths characterize this process. Some countries, such 
as Mexico, have tried to strengthen technical education in secondary schools, shifting its weight away from VE 
activities. They have also tried to establish closed ties with the business sector, also in technical education. Other 
countries, such as Brazil, have increased the separation between technical and vocational education, aiming at 
establishing a closer link between businesses and schools. Reform has been prompted by growing levels of 
                                                        
7
  The figure for Mexico has fairly increased in the recent years, as we will see later. 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
17 
unemployment, stagnation of growth and recognition of the need to have a workforce better equipped to face 
competition at the global level. 
Reform has brought a revaluation of post-secondary technological education, attempts at increasing 
technological input in basic and middle level education. Reform has also been concomitant with the 
explosion of the offer of on the job training by firms operating in the private sector. Reform has also been 
affected, although not always with a positive impact, by the proliferation of government programs 
connected to the fight against poverty. 
In terms of students involved in its activities vocational education plays no minor role in Latin America,  
as showed by table 1. In some countries the share of young people involved in vocational education reaches 40 
percent. There is, however, a huge variation and in some countries, such as Ecuador and Bolivia, its role remains 
marginal. 
Clearly, vocational education can potentially play a crucial role in Latin America, by providing 
particularly a more articulate supply of skills and formations, thus contributing to reduce the 
education/occupation mismatch, which is at the roots of the high unemployment rate. If vocational education 
wants to play a more significant role, more and deeper analysis is needed, but economists and other experts tend 
to traditionally neglect vocational education. This is partly due to its fragmented nature that makes it difficult to 
reach general conclusions and policy recommendations. Happily, things are changing and more attention is 
showing up. Data about PISA outcomes allow comparing general education and vocational education in terms 
of the quality of students’ human capital they contribute to build. Interesting information comes from a recent 
study (Atinok, 2012) that compares pupils in the two main types of the education system (vocational and general) 
using the international achievement test of PISA, 2009. The study shows that students from vocational schools 
have, in most countries, significantly lower performances in mathematics, science and reading than pupils in 
general education schools. However, it appears that the characteristics of pupils between the two streams are 
significantly different, with pupils with high socio-economic status showing a higher enrolment rate in general 
education than pupils coming from families with low socio-economic status. If these findings can be generalized, 
they point to the need of increasing the amount of resources spent on vocational education to fill the gaps deriving 
from personal, or better family, conditions of the students.  
Vocational education in most of the Latin American region is characterized by a substantial degree of 
centralization. While the provision of services, meaning the management of schools is done at the subnational 
levels, strategies and policy orientations are elaborated at the national level, also in federal and decentralized 
countries. This can be a limit to the capacity of vocational education to gather to the specific needs of distinct 
territories. Centralization is also supported by the financing system, with payroll taxes and transfers from the 
national budget representing the predominant source of revenue. 
 
 
 
 
 

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II.  Education in Mexico 
A. Essential features of the Mexican education system 
According to Article 3 of the Constitution of Mexico, all individuals have the right to access to education. The 
state —Federation, States, Federal District and Municipalities— will provide pre-school, primary, secondary 
and tertiary education. Basic education is pre-school, primary and lower secondary, and is compulsory. The 
federal government is responsible for guaranteeing the quality of compulsory education ensuring that materials, 
curricula, organization, infrastructure, teachers and principals fit with the maximal achieving of students.  
Likewise, the Federal Government is responsible for the determination, in consultation with the States and other 
stakeholders, of curricula and programs of pre-school, primary, secondary and normal education for the whole 
country. All education provided by the state must to be free of charge. However, private provision of education 
is allowed, but the state is empowered to give accreditation to private schools. The Mexican Congress is 
responsible for the assignment of responsibilities in the social services area, including education, between 
Federation, States and Municipalities, and for the provision of economic resources. 
The Mexican Education System presently attends 36,604,251 students in 257,425 schools with 2,064,775 
teachers (Dirección General de Planeación, Programación y Estadística Educativa Secretaría de Educación 
Pública, 2018). In 2016/17 70,4 percent of students were enrolled in basic education, 13.9 per cent in 
secondary— and 10,3 percent in upper secondary and tertiary education. Vocational training (Capacitacion para 
el trabajo, see later the section on vocational education) represented the remaining. 5.3 percent. In terms of 
teachers, 58.9% are employed in basic education implying large classes, 20.2 percent  in secondary education, 
while the share for higher education and vocational training are 18.8 and 2.0 percent respectively. Eminently, 
basic education is public, while the importance of private schools increases when moving up on the educational 
scale. Also 83.8 percent of pre-school, 91 percent of primary and 87.3 percent of secondary establishments 
receive public financing, as can we see in following graph (figure 2).  
 
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Figure 1 
Mexico: selected education indicators compared with the OECD average 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Source: OCDE Education Policy Outlook Snapshot: Mexico. 
 
Table 2 
Mexico: students at all levels of schools, 2016-2017 
 
Total Males Females Teachers Schools 
Total education 36 604 251 18 315 247 18 289 004 2 064 775 257 425 
Public 31 645 520 15 766 092 15 879 428 1 608 109 214 412 
Private 4 958 731 2 549 155  2 409 576 456 666 43 013 
Primary education 25 780 693 12 700 104 13 080 589 1 217 191 225 757 
Public 23 172 402 11 413 943 11 758 459 1 049 073 196 96 
Private 2 608 291 1 286 161 1 322 130 168 118 28 797 
Secondary 5 128 518 2 585 376 2 543 142 417 745 20 718 
Public 4 165 665 2 085 797 2 079 868 305 828 13 893 
Private 962 853 499 579 463 274 111 917 6 825 
Upper secondary/tertiary 3 762 679 1 864 102 1 898 577 388 31 5 311 
Public 2 655 711 1 263 018 1 392 693 231 658 2 208 
Private 1 106 968 601 084 505 884 156 652 3 103 
Vocational training 1 932 361 1 165 665 766 696 41 529 5 639 
Public 1 651 742 1 003 334 648 408 21 55 1 351 
Private 280 619 162 331 118 288 19 979 4 288 
Source: Dirección General de Planeación, Programación y Estadística Educativa Secretaría de Educación Pública, 2018. 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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In comparative terms, observable in figure 1, the education sector is not performing well with most 
indicators lying below, or at best aligned with, the OECD average. 
A substantial education reform effort has been done by the administration of President Pena Nieto as part 
of an ambitious reform strategy regarding also energy, telecommunications, and taxation. Education reform 
seeks to increase the governability of the system through a mix of centralization and decentralization measures. 
The most important change refers to management of teachers, where deep problems had accumulated in the past 
decades leading to lower quality, high absenteeism, and clientelistic and nepotistic practices in recruitment. 
While individual schools will continue to be administered by the States, the federal government will take more 
responsibility for teacher certification, evaluation and salary decisions. 
 
Figure 2 
Mexico: national expenditure in education according origin of resources 
(As percent of GDP) 
 
 
 
 
 
 
 
 
 
 
 
Source: INEE, on the basis of Anexo estadístico del Segundo Informe de Gobierno 2013-2014, Presidencia de la República (2014); 
INEGI (National Accounts). 
 
The reform introduces also school-based management. Schools will be given more autonomy managing 
of their own resources, definition of curriculums and utilization of teachers and staff. In other words, the federal 
al government will use its authority to set and enforce broad standards of quality, particularly when it comes to 
teachers. But within that framework, the local schools will have greater latitude find creative ways to improve 
learning and student outcomes. 
B. Outcomes: global  
Students scores in mathematics, science and reading available at the country level since 2003 to 2015 are the 
man variable used for comparing the country performance in education. Mexico’s scores, reported in tables 
3, 4, and 5 are below the OECD average. There is also some closing of the gap over the years, although gap 
closing appears to stall after 2012. The distance from OECD is now 15%. In Latin America Mexico scores 
lower than Chile and Uruguay, but better than the other countries. It is also notable that the ranking remains 
the same over the years.  
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22 
Table 3 
Student scores in mathematics: Mexico compared, 2003-2015 
  
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percent 
distance to 
OECD 
  2015 2012 2006 2003 
Singapore/Taipei/Korea 564 14.63 573 15.99 549 11.13 552 11.29 
OECD average 490 -0.00 494 0.00 494 0.00 496 0.00 
Chile 423 -14.02 423 -14.37 411 -16.80 n.a. n.a. 
Mexico 408 -17.07 413 -16.40 400 -19.03 382 -22.98 
Costa Rica 400 -18.70 407 -17.61 n.a. n.a. n.a. n.a. 
Colombia 390 -20.73 376 -23.89 370 -25.10 n.a. n.a. 
Peru 387 -21.34 n.a. n.a. n.a. n.a. n.a. n.a. 
Brazil 377 -23.37 391 -20.85 370 -25.10 350 -29.44 
Dominican Republic 327 -33.39 n.a. n.a.  -100.00 n.a. n.a. 
Uruguay 418 -15.04 409 -17.21 427 -13.56 412 -16.94 
Argentina n.a. n.a. 388 -21.46 381 -2287 n.a. n.a. 
Source: 2003 OCDE. Learning for Tomorrow’s World. First Results from PISA 2003; 2006, Instituto Nacional para la Evaluación, PISA, 2006 
en Mexico; 2012: OCDE, PISA 2012 Results. Vol.1; 2015: OCDE, PISA 2015 Results Excellence and Equity In Education. Volume I. 
 
Explaining comparative performance among countries is not the aim on this study, however. Let’s 
simply mentions that Mexico spends for the schooling of its 6-15 years old pupils only 31% of OCDE 
average, while its GDP per capita is 44%. In other words, Mexico spends considerably less than OCDE 
countries, also in relative terms. 
 
Table 4 
Student scores in sciences: Mexico compared, 2003-2015 
  
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percent 
distance 
to OECD 
  2015 2012 2006 2003 
Singapore/Finland 556 12.8 551 10.0 563 13 548 9.6 
OECD average 493 0.0 501 0.0 500 0 500 0 
Chile 447 -9.3 445 -11.2 438 -12  - -100 
Mexico 416 -15.6 415 -17.2 410 -18 403 -19.4 
Costa Rica 420 -14.8 429 -14.4 391 -22  - -100 
Colombia 416 -15.6 399 -20.4 388 -22  - -100 
Peru 397 -19.5 n.a. n.a. n.a. n.a. n.a. n.a. 
Brazil 401 -18.7 405 -19.2 390 -22 390 -22 
Dominican Republic 332 -32.7 n.a. n.a. n.a. n.a. n.a. n.a. 
Uruguay 435 -11.8 416 -17.0 428 -14 438 -12.4 
Argentina n.a. n.a. 406 -19.0 395 -21 n.a. n.a. 
Source: 2003 OCDE. Learning for Tomorrow’s World. First Results from PISA 2003; 2006, Instituto Nacional para la Evaluación, PISA, 2006 
en Mexico; 2012: OCDE, PISA 2012 Results. Vol.1; 2015: OCDE, PISA 2015 Results Excellence and Equity In Education. Volume I. 
 
This does not imply, necessarily, that Mexican education is comparatively efficient. This is because, 
observing that gaps in student scores are less than 20 per cent, while gap in GDP is over 40 percent, does not 
allow saying that Mexico comparatively makes better use of its resources, since the relationship  may not  be 
strictly proportional.   
 
 
 
 
 
 
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Australia 
Austria 
Belgium 
Canada 
Czech Republic Denmark 
Finland 
France 
Germany 
Greece 
Hungary 
Iceland 
Ireland 
Italy 
Japan 
Korea
Mexico 
Netherlands 
New Zealand 
Norway 
Poland 
Portugal 
Slovak Republic
Spain 
Sweden 
Switzerland 
Turkey 
United States 
R² = 0,2811
350
400
450
500
550
600
5 
00
0
10
 
00
0
15
 
00
0
20
 
00
0
25
 
00
0
30
 
00
0
35
 
00
0
40
 
00
0
Table 5 
Student scores in reading: Mexico compared, 2003-2015 
  
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percent 
distance to 
OECD 
Mean 
score 
Percente 
distance to 
OECD 
Mean 
score 
Percent 
distance to 
OECD 
  2015 2012 2006 2003 
Singapore/Singapore/ 
Korea/Finland 556 12.8 542 9.3 547 10.7 543 9.9 
OECD average 493 0.0 496 0.0 494 0.0 494 0.0 
Chile 459 -6.9 441 -11.1 442 -10.5 n.a. n.a. 
Mexico 423 -14.2 424 -14.5 410 -17.0 400 -19.0 
Costa Rica 427 -13.4 441 -11.1 374 -24.3 n.a. n.a. 
Colombia 425 -13.8 403 -18.8 385 -22.1 n.a. n.a. 
Peru 396 -19.7 n.a. n.a.   -100.0 n.a. n.a. 
Brazil 407 -17.4 410 -17.3 393 -20.4 403 -18.4 
Dominican Republic 358 -27.4 n.a. n.a.   -100.0 n.a. n.a. 
Uruguay 435 -11.8 411 -17.1 413 -16.4 434 -12.1 
Argentina n.a. n.a. 396 -20.2 376 -23.9 n.a. n.a. 
Source: Dirección General de Planeación, Programación y Estadística Educativa Secretaría de Educación Pública, 2018. 
 
Figure 3 illustrates the relationship between per capita GDP in PPPs and performance in mathematics in 
the OECD countries for 2003 and shows that Mexico is underperforming comparatively. Its scores are lower 
than that that would be allowed by its national income. Obviously, this is only a prima facie evaluation. Firmer 
results need more complete and accurate analysis taking into account other relevant factors.  
 
Figure 3 
Mexico: correlation between performance in mathematics and national income 
(GDP per capita in US dollars using PPPs) 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Source: OECD PISA, 2003, Dirección General de Planeación, Programación y Estadística Educativa Secretaría de Educación Pública, 2018.   
 
 
 
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24 
C. Outcome by states: the regional distribution 
In general, we have to expect large disparities in the quality/quantity of private and public goods and services in 
countries with deep regional economic gaps. GDP is lower in the backward regions, because in general the 
productivity of factors is also lower. This applies to public services and, specifically, to education. This is also 
the case of Mexico, as shown by student scores by states in 2003 and 2012 (regional data is not available for 
2015) reported in table 6 and summarized in table 7.  
 
Table 6 
Mexico: student scores by State, 2012 and 2003 
State 
Mathematics Science Reading Mathematics 
Percentage share of 15 
years old still in primary 
school or out of school 
2012 2012 2003 2003 2012 2003 
Aguascalientes 437 435 447 429 33.4 38.6 
Baja California 415 417 428 384 33.6 34.9 
Baja California Sur 414 418 423 378 19.1 26.7 
Campeche 396 405 413 374 24.5 32.9 
Coahuila 418 421 431 356 29.6 25.7 
Colima 428 429 440 413 31.9 36.7 
Chiapas 373 377 371 387 34.3 38.6 
Chihuahua 429 429 444 443 20.9 31.3 
Distrito Federal 428 427 448 435 17.2 30.6 
Durango 424 423 436 369 30.5 30.6 
Guanajuato 412 404 414 385 32.9 47.2 
Guerrero 367 372 368 351 29.2 31.9 
Hidalgo 406 411 414 392 18.9 30.5 
Jalisco 435 436 436 420 45.1 46.4 
Mexico 417 421 437 385 36.1 41 
Morelos 421 425 425 390 23.4 29.6 
Nayarit 414 407 418 383 17.2 29.6 
Nuevo León 436 435 442 408 40.1 37.3 
Puebla 415 423 423 376 26.8 35.7 
Querétaro 434 432 451 409 29.3 37.9 
Quintana Roo 411 416 430 390 41.3 26 
San Luis Potosí 412 416 425 375 31.4 35.4 
Sinaloa 411 408 417 398 17.9 32 
Tabasco 378 391 395 335 17 23 
Tamaulipas 411 414 421 402 35.2 32 
Tlaxcala 411 412 418 355 28.2 33.1 
Veracruz 402 401 410 357 24.7 29.8 
Yucatán 410 415 426 387 28.7 27.8 
Zacatecas 408 402 412 382 27.2 42.8 
Nation 413 415 424 385 30.4 35.6 
Source: For 2003, OCDE Learning for Tomorrow’s World. First Results from PISA 2003; 2006, INEE, Pisa 2006 en Mexico; for 2012, 
INEE, PISA en Mexico, 2012.    
 
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25 
Substantial regional disparities between scores appear. The Max/Min ratio is around 20 per cent, which is quite 
high. Also Range 2, i.e. the difference between the two highest scores and the two lowest ones weighed by the 
mean, is relatively high. A much higher variation shows up for the percentage share of 15 years old still in 
primary schools or out of schools, which is a more traditional, but still significant indicator of performance of 
the education system. Here the Max/Min ratio is 2.8 in 2012 and 2.0 in 2003. 
 
Table 7 
Mexico: summary statistics of student scores 
 Mathematics Science Reading Mathematics 
 2012 2003 
Max-Min 68 64 79 92 
Max/Min 18.53 17.20 21.47 26.21 
Range 2 0.42 0.52 0.63 0.89 
Correlation Math with GDP 0.18  -  -  - 
Correlation Science with GDP -  0.25  -  - 
Correlation Reading with GDP - - 0.31 19.8 
Source: For education see Dirección General de Planeación, Programación y Estadística Educativa Secretaría de Educación Pública, 
2018; for GDP, INEGI, PIB y Cuentas Nacionales. 
 
There is also a net improvement over the years, meaning a narrowing of the gaps referred to student scores 
between the states. However, latest information by states stops in 2012 and, as observed above, there has been 
no further improvement of national scores from 2012 and 2015 that has likely been accompanied by a halt of the 
closing process of regional gaps. 
As expected, and observable in figures 4 and 5. Student scores are positively correlated with per capita 
GDP reflecting the impact of economic conditions of families and areas.8 
 
Figure 4 
Mexico: relationship between maths scores and per capita GDP 
 
 
 
 
 
 
 
 
 
 
 
 
 
Source: For 2003, OCDE Learning for Tomorrow’s World. First Results from PISA 2003; 2006, INEE, Pisa 2006 en Mexico; for 2012, 
INEE, PISA en Mexico, 2012.
                                                        
8
  Correlation is higher when the main outlier, Campeche, is taken out, as observable in Figure 4b in the Annex. Campeche is an oil producing 
state and its very high per capita GDP does not necessarily reflect accurately the socio-economic conditions of families. 
y = 88,973x - 21237
R² = 0,0326
 0
10 000
20 000
30 000
40 000
50 000
36
9
37
9
38
9
39
9
40
9
41
9
42
9
43
9
 
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26 
Figure 5 
Mexico: relationship between science scores and percapita GDP 
 
 
 
 
 
 
 
 
 
 
 
Source: Author’s elaboration. For 2003, OCDE Learning for Tomorrow’s World. First Results from PISA 2003; 2006, INEE, Pisa 2006 
en Mexico; for 2012, INEE, PISA en Mexico, 2012 
 
Another important outcome indicator, reported in the columns at the right end of table 6 and summarized 
in table 8 below, also available from PISA results, is the percentage of 15 years old individuals, who are out of 
school or still in primary school, hence not participating to PISA program. Ideally, all 15 years old should take 
part to the evaluation, meaning that they schooled and did it without retardation. This is not the case in Mexico 
for one third, approximately, of the concerned population. At the national level the share of non-participating  
15 years old is shrinking between the two years. Regional disparities remain wide with a Max/Min ratio reaching 
almost 2.5 times.  This indicator reflects in part, represented by the number of 15 years old still in primary school, 
the existence of problems within schools; in part, represented by the number of 15 years old no more in schools, 
it reflects disparities of opportunities in regional labor markets. As it is to be expected in a country with wide 
regional disparities of income and employment opportunities, such as Mexico, the share of out of school or 
delayed students is inversely correlated to income (as shown in table 8). This means that, where employment 
opportunities exist, young people, especially those from poor families, leave school for the labor market. This 
impacts negatively on student outcomes, because of the lesser motivation of students who stay in school for lack 
of employment alternatives. 
 
Table 8 
Mexico: summary statistics of 15-year-old non-attending secondary schools 
        2012 2003 
Max-Min 24.30 23.40 
Max/Min 2.43 2.02 
Range 2 3.36 2.22 
Correlation 2012 with GDP -0.07  - 
Correlation 2003 with GDP - -0.12 
Source: Author’s elaborations. For 2003, OCDE Learning for Tomorrow’s World. First Results from PISA 2003; 2006, INEE, Pisa 2006 
en Mexico; for 2012, INEE, PISA en Mexico, 2012. 
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D. Student scores, resources and regional efficiency
Lagging regions could fill their gap in education outcomes, either by being more efficient in the use of their 
resources, or by receiving additional support from the central government, allowing them to reach higher 
outcomes even with less efficiency, if the support is large enough. Lagging regions could also ask for more 
support from families and, in turn, provide more help to them. They could also generate more own revenues to 
finance education, or spend more revenue for education, after assessment of the opportunity costs. 
The first two questions can be answered by observing the unit costs of student scores. If low scores are 
correlated with low unit costs, then it would be possible to increase scores by providing more funds to regions 
where low scores prevail. But if scores and unit costs are inversely correlated, funding could not help, unless a 
huge disbursement of funds is done. 
Table 9 
Mexico: unit cost of student scores by State, 2012 
State Unit cost per mathematics score Unit cost per science score Unit cost per reading score 
Aguascalientes 14.5 14.6 14.2 
Baja California 11.8 11.7 11.4 
Baja California Sur 20.9 20.7 20.5 
Campeche 19.7 19.3 18.9 
Coahuila 11.7 11.6 11.3 
Colima 17.0 17.0 16.5 
Chiapas 19.0 18.8 19.1 
Chihuahua 11.9 11.9 11.5 
Distrito Federal 12.6 12.6 12.0 
Durango 15.9 15.9 15.4 
Guanajuato 10.5 10.7 10.5 
Guerrero 22.3 22.0 22.3 
Hidalgo 17.3 17.0 16.9 
Jalisco 8.9 8.9 8.9 
Mexico 9.3 9.2 8.9 
Morelos 13.0 12.8 12.8 
Nayarit 16.7 17.0 16.5 
Nuevo León 9.2 9.3 9.1 
Puebla 11.6 11.4 11.4 
Querétaro 11.5 11.5 11.1 
Quintana Roo 14.3 14.1 13.6 
San Luis Potosí 15.1 14.9 14.6 
Sinaloa 13.1 13.2 12.9 
Tabasco 14.2 13.7 13.6 
Tamaulipas 13.4 13.3 13.0 
Tlaxcala 16.2 16.2 15.9 
Veracruz 14.0 14.0 13.7 
Yucatán 12.5 12.4 12.0 
Zacatecas 16.4 16.6 16.2 
Nation 12.7 12.6 12.4 
Source: 2012: OCDE, PISA 2012 Results. Vol.1. 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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We can approximate this cost by dividing student scores by the expenditure for education. More 
precisely, we use national specific transfers for education, now called FONE and which is part of the large 
category of sector specific funds called in Mexico Aportaciones. FONE represent almost 99% of total 
expenditure for this sector.9 Unit cost figures are reported in table 9 and the information is summarized in 
table 10 and in figures 6 and 7. 
A few observations apply. First, there is a huge variation in the size of unit costs. The highest value, 
22.3 for Guerrero, is more than the double of the lowest one, 9,2 for Nuevo Leon (MAX/MIN is in fact 2.5, 
as in table 9), and dispersion is high, showing huge variation of efficiency in transforming financial 
resources in student scores. 
 
Table 10 
Summary statistics of unit cost of scores 
Max-Min 13.40 13.10 13.40 
Max/Min 2.50 2.47 2.50 
Range 2 3.80 3.70 3.80 
Source: 2012: OCDE, PISA 2012 Results. Vol.1. 
 
Second, and more importantly, unit costs are inversely correlated with student scores, meaning that use 
of resources is less efficient in States with lower achievement in education. Since achievement in education is 
correlated with per capita GDP, this finding brings, in turn, evidence on the role of lower factor productivity of 
in backward regions.  
 
Figure 6 
Mexico: relationship between unit cost of student scures and scores, 2012 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Source: Author’s elaborations. For 2003, OCDE Learning for Tomorrow’s World. First Results from PISA 2003; 2006, INEE, Pisa 2006 
en Mexico; for 2012, INEE, PISA en Mexico, 2012 
                                                        
9 
 Approximation derives from using all education expenditure and not only those corresponding to the cycle of schooling from the 
beginning up to 15 years. 
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
29 
Larger government support can contribute to fill the gaps in scores in presence of differentials of 
efficiency. This, however, does not seem to be the case of Mexico, where Aportaciones are directly, although 
not strongly, correlated with GDP (see figure 7).  
 
Figure 7 
Correlation between per capita GDP and aportaciones 
 
 
 
 
 
 
 
 
 
 
 
 
 
Source: Author’s elaborations. For 2003, OCDE Learning for Tomorrow’s World. First Results from PISA 2003; 2006, INEE, Pisa 2006 
en Mexico; for 2012, INEE, PISA en Mexico, 2012, and on data from INEGI for Aportaciones. 
 
 
 
E. Student scores and personal equity 
In addition to the average student scores per country and/or per region, Pisa results distinguish between six levels 
of proficiency (level 1 is the lowest one and corresponds to very basic proficiency, while level 6 is the highest 
one) and provide information about the percentage of students that reach these levels of proficiency.  
This information, reported in table 11 and summarized in table 12, can be used to make guesses about the 
distribution of achievements. In particular, we focus in this paper on the percentage of students, who are not 
even able to reach level 1. In other words, we focus on the number of students who cannot reach even the lowest 
level of achievement. Focusing on them is somewhat equivalent to focus on extreme poverty in an analysis on 
the distribution of income, or of consumption. 
As a matter of fact, the share of absolutely non-performing students is quite high, with the exception of 
reading, but also only in 2012, ranging between one third and one fifth of total number of students. Dispersion 
is also high, measured both on terms of Max/Min, and in terms of Range 1. It also to be noted that scores do not 
improve over the years observed in this analysis, showing the permanence of a high number of students with 
unsatisfactory performance that will diminish their chances to enter into the labor market. 
It has to be expected that unsatisfactory performance is strongly correlated with the socio-economic 
conditions of regions. To check this proposition we perform two distinct correlation tests. The first one uses 
GDP, while the second one uses, for 2006, an indicator of marginalization, while for 2012 the analysis makes 
use of gross income of families estimated from the Encuesta de Hogares. Both marginalization and gross 
household income reflect better personal and family socio-economic conditions than GDP. For both variables 
and for both years the correlation is strong and negative, questioning the capacity of education policy in Mexico 
to overcome disparities in opportunities.  
y = 0,0068x + 5758,4
R² = 0,0021
2 000
4 000
6 000
8 000
5 
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10
 
50
0
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50
0
20
 
50
0
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50
0
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CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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Table 11 
Share of students with scores lover than level 1 
2006 2012 
Mathematics Science Reading Mathematics Science Reading 
Aguascalientes 16.8 8.3 11.2 13.9 8 1.5 
Baja California 22.5 14.0 15.8 21.4 11.6 1.5 
Baja California Sur 23.8 12.9 13.8 22.4 10.7 1.6 
Campeche 35.2 19.5 22.4 29.6 15.6 2.5 
Coahuila 20.9 8.6 13.6 20.6 11.5 1.1 
Colima 21.2 11.5 14.8 18.1 10.5 1.5 
Chiapas 47.6 35.4 39.0 42.4 28.0 9.1 
Chihuahua 21.2 11.0 17.9 17.4 9.9 2.2 
Distrito Federal 15.2 7.9 7.8 16.8 8.4 1.1 
Durango 22.5 14.0 16.6 18.3 9.3 1.4 
Guanajuato 29.1 18.4 20.1 24.2 16.5 3.6 
Guerrero 43.9 25.7 30.7 46.9 27.9 9.2 
Hidalgo 31.3 17.9 18.0 25.2 15.0 3.9 
Jalisco 22.3 16.0 14.4 13.9 6.8 1.8 
Mexico 26.3 16.1 18.8 18.1 8.2 1.0 
Morelos 32.1 23.9 26.6 20.5 10.8 4.0 
Nayarit 16,0 9.8 7.0 23.7 15.8 3.2 
Nuevo León 33.9 20,6 24.5 14.7 6.8 1.2 
Puebla 21.3 11.4 15.9 21.1 11.3 2.6 
Querétaro 29.3 15.0 18.1 15.1 8.2 1.0 
Quintana Roo 25.5 11.4 19.2 23.3 12.2 1.9 
San Luis Potosí 31.2 22.2 29.0 25.9 12.5 2.8 
Sinaloa 19.9 13.2 16.2 22.6 13.4 1.9 
Tabasco 46.5 30.2 31.1 38.8 38.8 3.8 
Tamaulipas 22.0 13.2 14.6 23.9 23.9 2.8 
Tlaxcala 25.8 12.2 20.8 22.6 22.6 3.4 
Veracruz 27.9 18.8 21.6 28.5 28.5 3.0 
Yucatán 25.9 16.1 23.0 24.5 24.5 1.7 
Zacatecas 22.7 16.5 19.5 23.7 23.7 3.1 
National 28.4 18.1 20.3 22.8 22.8 2.6 
Source: 2006, INEE, Pisa 2006 en Mexico; 2012: INEE, PISA en Mexico 2012. 
Table 12 
Summary statistics of scores lover than Level 1 
2006 2012 
Max/Min mathematics 3.13 Max/Min mathematics 3.05 
Max/Min science 4.26 Max/Min science 4.61 
Max/Min reading 5.57 Max/Min reading 8.36 
Range 1 mathematics 1.11 Range 1 mathematics 1.45 
Range 1 science 1.60 Range 1 science 0.95 
Range 1 reading 1.67 Range 1 reading 3.12 
Range 1 GDP 2.18 Range 1 GDP 3.65 
Correl GDP mathematics -0.60 Correl GDP mathematics -0.19
Correl GDP science -0.62 Correl GDP science -0.27
Correl GDP reading -0.69 Correl GDP reading -0.40
Correl Marginalization maths -0.86 Correl household gross income maths -0.58
Correl Marginalization with science -0.82 Correl household gross income science -0.58
Correl Marginalization with reading -0.86 Correl household gross income with reading -0.67
Source: 2006, INEE, Pisa 2006 en Mexico; 2012: INEE, PISA en Mexico 2012.
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F. Index of decentralization: fiscal versus decision-making power 
Expenditure for education was until January 2015 executed in Mexico by the states.  As a matter of fact, 
education represents by far the largest area of expenditure for the states, distancing health and pensions. Since 
January 2015, payment of teachers’ salaries, the main item of education expenditure, has been assigned to the 
federal government, although decisions about hiring and firing remain assigned (at least nominally, given the 
power of the purse resting with the federal government) with the states.  
However, practically all education expenditure is financed by the federal government with a sector 
specific grant, now called FONE (Fondo de Aportaciones de Nomina Educativa y Gasto Operativo) that replaced 
FAEB (Fondo de Aportaciones para la Educacion Basica y Normal).  FONE and also FAEB distinguish between 
the various sector categories of expenditure: personnel, other current, investment etc. leaving practically no 
autonomous decision-making power to the states, other than the possibility of adding their own resources. This 
is, however, taking place at a minimally appreciable level.  
As a result, from a purely fiscal point of view the degree of (fiscal) decentralization in Mexico is open to 
debate and disagreement. 
The index built by the OECD, reported for Mexico in table 12 and for a sample of Latin American 
countries including Mexico in table A. 2 in the Annex, allows to advance with this discussion and provides a 
useful starting point for understanding the allocation of tasks between levels of government and the various 
stakeholders. The index tries to single out the importance, calculated in percentage terms, of the decision-making 
power assigned to each of a set of five stakeholders with reference to four different areas of decision-making. 
The five stakeholders are principals, teachers, school boards, subnational governments and the central 
government, while the areas of decision-making power are the following: 
1. Curriculum and assessment, meaning defining curricula, choosing textbooks, determining which 
courses are offered and the content of those courses). 
2. Resources, meaning authority to appointing and dismissing teachers, establishing teachers’ starting 
salaries and salary raises, formulating school budgets and allocating them within the school. 
3. Establishing student-assessment policies. 
4. Approving students for admission to the schools. This area of decision-making impacts heavily on 
student choices and on incentives to stay in schools. 
An interesting feature of the index is that it allows building a view on the weight that is given to the two 
alternative strategies for decentralization of education. To be more specific, an emphasis on the school-based 
management approach would emerge from high percentages of decision-making power assigned to principals, 
teachers and school boards. On the other hand, a traditional subnational government-based strategy of 
decentralization would emerge from a high percentage attributed to regional and local authorities.   
The index is built by asking school principals and hence reflects closely their perceptions. Although 
principals are the closest and more comprehensive observers of school reality, their perceptions are strongly 
influenced by their role, giving the index an exploratory character. In view of the focus assigned in this 
paper to effective outcomes of education, the two first components are clearly the more interesting. Also, 
more disaggregated information about resources would be most useful and could be provided in a follow 
up of this report. 
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Table 13 
Index of decentralization and autonomy in education applying to 2015 
(Mexico compared) 
Principal Teachers School board Local/Regional authority National authority 
Curriculum and assessment 
Mexico 3.8 18.9 10.9 24.3 42.1 
Brazil 9.4 39.4 12.5 33.0 5.7 
CABA (Argentina) 12.5 42.5 8.8 28.2 8.0 
Chile 21.8 33.0 17.6 2.7 25.1 
Colombia 21.0 40.0 27.0 5.4 6.7 
Costa Rica 8.0 30.6 1.0 1.0 59.3 
Dominican Republic 4.8 9.1 5.5 0.3 80.2 
Peru 20.4 27.2 5.2 7.3 39.9 
Uruguay 7.6 22.5 6.3 15.1 48.4 
Trinidad and Tobago 24.7 35.4 4.4 1.3 34.2 
OECD average 21.6 44.1 7.6 7.0 8.0 
Resources 
Mexico 18.2 0.9 16.1 36.9 27.9 
Brazil 14.0 0.6 12.0 65.5 7.9 
CABA (Argentina) 23.3 0.2 20.9 46.4 9.2 
Chile 34.3 1.4 37.2 19.0 8.2 
Colombia 23.9 0.5 17.9 26.9 30.8 
Costa Rica 16.7 2.3 18.8 1.8 60.4 
Dominican Republic 18.0 1.2 23.1 0.0 57.7 
Peru 31.9 3.4 14.9 21.8 27.9 
Uruguay 10.0 1.6 12.6 3.3 72.5 
Trinidad and Tobago 20.9 5.7 10.6 1.7 61.1 
OECD average 39.0 2.5 12.3 23.1 23.1 
Establishing student assessment policies 
Mexico 10.4 30.0 25.9 19.9 13.8 
Brazil 13.0 20.4 31.3 31.6 3.7 
CABA (Argentina) 20.9 46.8 18.7 11.8 1.8 
Chile - - - - - 
Colombia 12.9 18.4 61.0 1.7 6.0 
Costa Rica 26.8 29.0 0.8 2.3 41.1 
Dominican Republic 14.1 21.1 24.9 - 39.8 
Peru 32.2 37.6 8.7 7.5 14.0 
Uruguay 16.7 25.6 8.0 8.1 41.5 
Trinidad and Tobago 32.0 31.9 7.3 4.7 24.1 
OECD average 31.5 36.3 11.0 6.7 14.5 
Approving students for admission to schools 
Mexico 30.8 5.1 22.9 26.4 14.9 
Brazil 36.1 11.5 27.3 19.6 5.4 
CABA (Argentina) 57.9 5.1 13.0 23.5 0.5 
Chile 49.4 10.4 25.1 3.7 11.5 
Colombia 45.4 5.6 37.9 9.0 2.0 
Costa Rica 77.1 9.5 2.9 2.4 8.1 
Dominican Republic 51.8 7.0 34.7 - 6.5 
Peru 60.5 15.9 16.7 3.0 3.9 
Uruguay 43.6 1.8 12,6 3.9 38.0 
Trinidad and Tobago 29.1 1.4 9.3 22.3 37.8 
OECD average 61.4 6.1 11.2 14.3 7.0 
Source: OECD, PISA 2015. 
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Table 13 offers two ways for understanding the degree of decentralization of education in Mexico. The 
first one is to compare Mexico with OECD countries; the second one is to compare Mexico with the other Latin 
American countries sampled. On the first account, the Mexican system is quite centralized, particularly in the 
areas of curriculum, assessment and of resources. More specifically, in these areas the role of central government 
is expanded to the expenses of that of principals, teachers and school boards. On the second account, Mexico 
fares not very differently, although it appears that, on account of resources, the role of its subnational government 
seem to be lower than that observable in Latin America federations. 
G. Concomitant reform 
This is a crucial issue for evaluating the impact of reforms, since it focuses on the origin of the policies that are 
impacting on outcomes, thus avoiding attributing to a policy the merits/demerits that have in the reality their 
origin in another policy. However, it is difficult to assess concomitant reform, particularly in the case of 
decentralization. In the case of education (but not only) social policies, such as CCTs mentioned before, can 
impact, or even determine, the outcomes of education. As in the case of any other policy, the correct assessment 
of the impact of decentralizing education would require the construction of two distinct samples. The first one 
is made up of cases, where the social policy has been implemented together with decentralization. These cases 
are then compared with those of the second sample, where the social policy has not been implemented.  
There are two possibilities of conducting research. The first one is to refer to a single country, and compare 
local government units, where social policy has been implemented, with the remaining units, where the policy 
has not been implemented. Individual country analysis can, however, be unable to provide convincing evidence, 
because of the need of having sufficiently large number of cases to analyze. 
The second alternative is cross-country analysis. It allows comparisons of countries with different 
levels of social policies and decentralization. It is possible to solve the problems deriving from insufficient 
availability of comparable information for a sufficient number of countries by using information at 
decentralized levels of government. 
Limited information on Mexico does not allow a thorough examination of concomitant reform issues, 
despite their relevance. Mexico has been pioneering conditional cash transfers, providing financial support to 
families conditional to sending their children to school. This policy is expected to impact also on student 
scores, as the distribution of talent is not correlated with the socio-economic conditions of families, as we 
noted in the introduction. Mexico has also increased support to poor students by expanding the allocation of 
scholarships. This cannot be strictly considered a concomitant reform, because it applies to education. It is 
enacted, however, by the central government. Hence, we should expect that allocations for CCTs and 
scholarships (reported in table 14) should be associated with improved student achievements both in terms of 
scores than in share of 15 years old still in schools. This does not seem to be case, at least as it emerges from 
simple correlation analysis (reported in table 15). CCTs and scholarships are allocated with a clear 
redistributive intent. They do not impact, however, decisively on student achievements. 
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Table 14 
Personal income, revenue from CCTs and scholarships and changes in education scores 
  
Per capita gross 
personal Income  
Income from CCTs 
(Oportunidade) and 
scholarships  
2012/2003 percent 
change Maths score  
2012/2006 percent 
change of share of 15 
years still in schools  
Aguascalientes 207 576 322 1.019 0.865 
Baja California 240 971 230 1.081 0.963 
Baja California Sur 245 125 424 1.095 0.715 
Campeche 202 403 613 1.059 0.745 
Chiapas 97 155 1227 0.964 0.889 
Chihuahua 200 772 146 0.968 0.668 
Ciudad de México 319 625 331 0.984 0.562 
Coahuila de Zaragoza 287 908 186 1.174 1.152 
Colima 214 499 496 1.036 0.869 
Durango 159 731 622 1.149 0.997 
Guanajuato 165 509 490 1.070 0.697 
Guerrero 135 720 1134 1.046 0.915 
Hidalgo 141 053 664 1.036 0.620 
Jalisco 227 984 213 1.036 0.972 
México 189 533 262 1.083 0.880 
Morelos 170 763 535 1.079 0.791 
Nayarit 194 538 323 1.081 0.581 
Nuevo León 279 697 169 1.069 1.075 
Puebla 150 678 753 1.104 0.751 
Querétaro 219 433 377 1.061 0.773 
Quintana Roo 228 892 649 1.054 1.588 
San Luis Potosí 161 455 827 1.099 0.887 
Sinaloa 212 947 645 1.033 0.559 
Tabasco 169 518 697 1.128 0.739 
Tamaulipas 207 417 448 1.022 1.100 
Tlaxcala 148 162 584 1.158 0.852 
Veracruz de Ignacio de la 
Llave 131 338 890 1.126 0.829 
Yucatán 184 776 735 1.059 1.032 
Zacatecas 152 749 812 1.068 0.636 
Source: Author’s elaborations, based on INEGI 2014, on date used for table 4. 
 
Table 15 
Correlation between income, revenue from CCTs and scholarships and changes in education scores 
Correlation of scholarships and 
CCT with maths scores 2012 
Correlation household gross 
income with CCT and 
scholarships 
Correlation of scholarships 
and CCT with change in 
maths scores 
Correlation scholarships with 
change of 15 years out of school 
-0.79 -0.76 -0.02 -0.02 
Source: Author’s elaborations, based on INEGI 2014, on date used for table 4. 
 
H. Vocational education 
Despite the urgent needs of an adequate supply of vocational education, the Mexican vocational education 
system is relatively underdeveloped in Mexico with only slightly more than 3 per cent of the young population 
involved in it. Technical education is provided by secondary schools (Profesional Técnico), while vocational 
training (Capacitación para el Trabajo) is provided mostly by centers run by the General Directorate for 
Education of the Ministry of Education. The two components absorb, as reported in table 16, almost equal shares 
of pupils. In turn, students involved in vocational education are 11.5 percent of total students at all levels. The 
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35 
share of teachers is substantially lower, 8.6 percent, but we have to distinguish between the two components. 
More precisely, whyle the shares on their respective totals is the same for technical education, the  share of 
teachers on total teachers, 2.0 percent, is much smaller than the share of students, 5.7, implying that either classes 
are much bigger, or, and more likely, that courses are much shorter, allowing teachers to teach to a larger number 
of students over the year. This is typical of vocational training, since adaptation to work requires in many cases 
short periods of very specialized training. 
Table 16 
Vocational education in Mexico, 2016-2017 
Students Percent on total Teachers Percent on total Schools Percent on total 
Technical education 1 820 794 5.0 101 035 4.9 4 711 1.8 
Upper technical education 307 883 0.8 35 412 1.7 530 0.2 
Vocational training 1 932 361 5.7 41 529 2.00 5 639 2.2 
Private 1 651 742 21 55 1 351 
Public 280 619 19 979 4 288 
Total 36 604 251 11.5 2 064 775 8.6 257 425 4.2 
Source: Dirección General de Planeación, Programación y Estadística Educativa Secretaría de Educación Pública 2018 Principales 
Cifras del Sistema Educativo Nacional. Mexico. 
Focus of education reform in the most recent years, particularly under President Pena Nieto 
administration, has been on general education with the aim of improving the quality of service provision. Reform 
has centralized management of teachers and has introduced a system of valuation of their performance with the 
aim of increasing the quality of their services. The system is pretty centralized with also most of funding provided 
by the federal government, as Mexican states are almost completely deprived of tax capacity.  
In the most recent years, since 2008, some reform has taken place following the German model. Rather 
than training in a traditional vocational institution for their chosen profession, pupils learn both theoretical 
vocational skills and “real world,” practical skills for actual work in corporate facilities. 
The typical format of this dual vocational training in Mexico consists of three years of training, 75% of 
which is practical training in a company environment, and 25% theoretical. Students typically study hands-on 
skills and techniques, either in company facilities, or at multi-company learning centers, and study theory via 
distance-learning software and classes.  

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III.  Conclusions 
The paper has singled out the main steps and issues referred to the analysis of the impact of alternative 
institutional arrangements on education also, and especially, on a comparative basis. A few main topics 
have been analyzed: the selection of proper variables representing education achievements; the factors to 
consider when trying their explanation; the concept and measurement of decentralization, and the issue of 
concomitant reform.  
Data on student achievement, such as that collected by PISA (by Saber in Colombia and or by SERCE 
for Argentina and other Latin American countries) provides a valuable and expanding information basis for 
assessing the state of education sector and for evaluating the impact of alternative policies. 
Single country analysis of the impact of alternative institutional arrangements is constrained by the 
insufficient availability of data that limits the significance of statistical analysis. Comparative analysis at the 
national level is still constrained by the limited number of countries with comparable information. Panel 
analysis of a sub group of Latin American countries with information also at the subnational level would allow 
performing better statistical analysis and reaching more solid, broadly-based, conclusions and looks also 
increasingly feasible considering the growing effort exerted in the collection of this kind of information. 
For illustration sake, the paper has used information referred to Mexico. Outcomes for Mexico show some 
closing of the gap vis à vis OECD countries, although there is a recent stall. At the territorial level, there are still 
very wide disparities between the States, meaning that equality of opportunities is not achieved, although some 
progress towards uniformity in average outcomes appears to take place. Allocation of sector grants operates very 
little redistribution in favor of the poorest States. Also those same States seem to have lower levels of efficiency 
in spending. Although this has to be expected, it contributes to make disparities wider. In particular, the 
permanence of huge numbers of students with very low achievement contributes to a large personal disparity 
also within states. 
Typical indicators of fiscal decentralization are not very illustrative for Mexico, especially before 2015. 
Before this date most final expenditure for education was executed at the subnational level, although without 
autonomy. Looking at decentralization from the assignment of decision-making power point of view, as we have 
done in this paper, Mexico appears to be quite centralized. 
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A possible explanation of slow progress in Mexico may be that uniformity of rules and of procedures 
deriving from centralization does not provide enough incentives to principals and teachers and does not foster 
sufficient involvement in the process by families. 
The paper has also paid attention to technical and vocational training. This is an important component of 
the education that is expected to play in the immediate a much effective role in Latin America, contributing to 
reducing the education-occupation mismatch that is particularly ample in most countries. A number of reforms 
have been conducted in the recent years, whose impact and direction has still to be verified. Possibly, also, but 
this is a mere guess that has to be checked with deeper analysis, vocational education systems are still too 
centralized. This may help financially and may have a convergence impact, but at the same time, it reduces the 
capacity of the system to adapt to the requests and to the peculiarities of the areas and of the business activities, 
where technical and vocational schools and centers are operating. 
 
 
 
 
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Annex 
  
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
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Statistical annex 
Table A.1 
Mexico.Percentage of pupils who don’t reach minimum proficiency levels in Pisa tests 
 (Percents) 
 Latin American and the Caribbean countries OCDE 
Mathematics 63 23 
Reading 45 18 
Science 50 23 
Source: International Labour 2017. 
 
Table A.2 
Mexico: percentage of 15 years old individuals, who are out of school or still in primary school 
 2012 2003 
Aguascalientes 33.4 38.6 
Baja California 33.6 34.9 
Baja California Sur 19.1 26.7 
Campeche 24.5 32.9 
Chiapas 29.6 25.7 
Chihuahua 31.9 36.7 
Coahuila 34.3 38.6 
Colima 20.9 31.3 
Distrito Federal 17.2 30.6 
Durango 30.5 30.6 
Guanajuato 32.9 47.2 
Guerrero 29.2 31.9 
Hidalgo 18.9 30.5 
Jalisco 45.1 46,4 
México 36.1 41.0 
Morelos 23.4 29.6 
Nayarit 17.2 29.6 
Nuevo León 40.1 37.3 
Puebla 26.8 35.7 
Querétaro 29.3 37.9 
Quintana Roo 41.3 26.0 
San Luis Potosí 31.4 354.0 
Sinaloa 17.9 32.0 
Tabasco 17.0 23.0 
Tamaulipas 35.2 32.0 
Tlaxcala 28.2 33.1 
Veracruz 24.7 29.8 
Yucatán 28.7 27.8 
Zacatecas 27.2 42.8 
Nation 30.4 35.6 
Source: INEE. Elaboración con datos del Marco de Muestreo para PISA 2012 y Proyecciones de la población de México  
2005-2050, Conapo. 
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Table A.3 
Mexico: index of school autonomy and decentralization 
 
Principal Teachers School board Local/regional 
authority 
National 
authority 
Principal + 
teachers 
Local/regional + 
Nationa 
Curriculum and assessment 
Mexico 3.8 18.9 10.9 24.3 42.1  22.7 66.4 
Resources 
Mexico 18.2 0.9 16.1 36.9 27.9  19.1 64.8 
Establishing student assessment policies 
Mexico 10.4 30.0 25.9 19.9 13.8  40.4 54.2 
Approving students for admission to the schools 
 30.8 5.1 22.9 26,4 14.9 35.9  50.8 
Source: OECD, PISA 2015 Database. 
 
 
 
Figure A.1 
Relationship between maths scores and per capita GDP 
(No outliers) 
 
 
 
 
 
 
 
 
 
 
 
 
Source: Author’s elaborations. For 2003, OCDE Learning for Tomorrow’s World. First Results from PISA 2003; 2006, INEE, 
Pisa 2006 en Mexico; for 2012, INEE, PISA en Mexico, 2012 
 
 
 
 
 
 
  
CEPAL - Macroeconomics of Development Series N° 196 Decentralized provision of education: methodological suggestions… 
44 
 
 
 
Series: 
Macroeconomics of Development. 
Issues published 
A complete list as well as pdf files are available at 
www.eclac.org/publicaciones 
196. Decentralized provision of education: methodological suggestions for analysis, with application to Mexico.  
Giorgio Brosio (LC/TS.2018/108), 2018. 
195. Ciclo de precios y regímenes fiscales vinculados con los recursos naturales no renovables en América Latina 
y el Caribe. Michael Hanni, Juan Pablo Jiménez e Ignacio Ruelas (LC/TS.2018/92), 2018. 
194. Gastos e ingresos públicos de América Latina desde fines de los años ochenta hasta 2015. Tendencias observadas, 
desafíos actuales y lineamientos de reformas. Oscar Cetrángolo, Javier Curcio, Juan Carlos Gómez Sabaini y Dalmiro 
Morán (LC/TS.2018/61), 2018. 
193. La construcción de sistemas de información sobre el mercado laboral en América Latina. Sonia Gontero y María  
José Zambrano (LC/TS.018), 2018 
192. Financiamiento y gasto educativo en América Latina. Oscar Cetrángolo y Javier Curcio (LC/TS.2017/95), 2017. 
191. Evolución reciente del sector educativo en la región de América Latina y el Caribe. Casos de Chile, Colombia y 
México. Oscar Cetrángolo, Javier Curcio y Florencia Calligaro (LC/TS.2017/94), 2017. 
190. Las transformaciones tecnológicas y su impacto en los mercados laborales. Jürgen Weller (LC/TS.2017/76), 2017. 
189. Consideraciones para aumentar la participación de los trabajadores por cuenta propia en los sistemas contributivos de 
protección social en América Latina, Sonia Gontero y Jurgen Weller (LC/TS.2017/69), 2017. 
188. The use of high-frequency indicators in short-term forecasting models. The case of Latin American and Caribbean 
countries, Sandra Manuelito (LC/TS.2017/61), 2017. 
187. Metodologías aplicadas en América Latina para anticipar demandas de las empresas en materia de competencias 
técnicas y profesionales, Marta Novick (LC/TS.2017/37), 2017. 
186. El endeudamiento de los gobiernos subnacionales en América Latina. Evolución, institucionalidad y desafíos,  
Juan Pablo Jiménez, Ignacio Ruelas (LC/TS.2017/5), 2016. 
185. Programas de empleo público en América Latina, Stefano Farné (LC/L.4279), 2016. 
184. La concentración de los altos ingresos utilizando datos impositivos. Un análisis para Ecuador, Darío Rossignolo, 
Nicolás Oliva, Néstor Villacreses, (LC/L.4278), 2016. 
183. Flujos financieros ilícitos en América Latina y el Caribe, Andrea Podestá, Michael Hanni, Ricardo Martner  
(LC/L.4277), 2016. 
182. Estado de situación del sistema nacional de educación y formación técnico profesional de la República Dominicana, 
Oscar Amargós. (LC/L 4270), 2016. 
 
 
 
MACROECONOMICS OF DEVELOPMENT
196
ECONOMIC COMMISSION FOR LATIN AMERICA AND THE CARIBBEAN
COMISIÓN ECONÓMICA PARA AMÉRICA LATINA Y EL CARIBE
www.eclac.org

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