The Effects of Conditionality Monitoring on Educational Outcomes

Evidence from Brazil’s Bolsa Família Programme

Datos Bibliográficos

ID6235532
AutoresLuis Henrique Paiva (0000-0001-9197-7332, Institute of Applied Economic Research, autor de correspondencia), Fábio Veras Soares (0000-0002-7192-250X), Iara Azevedo Vitelli Viana (0000-0002-0991-1762, Universidade Federal de Minas Gerais), Flavio Cireno (0000-0003-3830-9567, Fundacao Joaquim Nabuco), Ana Clara Da Fonseca Leitão Duran (0000-0001-7317-5790, Universidade Estadual de Campinas (UNICAMP))
Año2021
Volumen15
Número1
Fecha de publicación2021-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBrazilian Political Science Review (JOURNAL)
Identificadores de la revistaISSN: 1981-3821 • E-ISSN: 1981-3821
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1981-3821202100010001
OpenAlexW3111579890
SCIELO_PIDS1981-38212021000100203
IdiomaEN
Citas recibidas1
Referencias citadas13

Conditional cash transfer programmes have been adopted by several developing countries. Despite their acceptance, the independent role of the conditionalities on education and health remain under scrutiny. We have used an ecological design to study the association between conditionality monitoring and educational outcomes in Brazil’s Bolsa Família programme. As programme coverage (taken as a proxy of cash transfers) and monitoring and enforcement of the educational conditionalities (proxy of conditionalities) are not correlated at the municipal level, this study fits a number of different ordinary least square (OLS) and growth-curve models to explain variation in dropout rates and school progression in basic education in public schools across municipalities. After controlling for a number of covariates, we did not find a significant association between Bolsa Família coverage and dropout and progression rates. On the other hand, monitoring of school attendance was negatively associated with dropout rates and positively associated with school progression (in the OLS models and in the initial status of the growth-curve models). The association between attendance monitoring and the rate of change of educational indicators in growth curve models was not the same, however, suggesting that its possible positive effect on educational indicators are not strong enough to affect a general tendency for these indicators to converge in the recent Brazilian context

Attendance · Conditionality · Context (archaeology · Demographic economics · Econometrics · Economic growth · Economics · Enforcement · Geography · Ordinary least squares · Political science · Politics · Proxy (statistics · Statistics · Child Nutrition and Water Access · Income, Poverty, and Inequality · Poverty, Education, and Child Welfare