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Measuring the incentives to learn in Colombia using new quantile regression approaches

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  • Lamarche, Carlos

Abstract

This paper employs newly developed quantile regression techniques to investigate a policy that could differentially affect students' performance. The Colombian vouchers were assigned using lotteries, and were renewable as long as the students maintained satisfactory academic progress. This second aspect of the program may provide incentives for low attainment students to work harder. The evidence supports the hypothesis that incentives could account for the impact of the vouchers, including lower repetition rate. The effect of the vouchers is largest in the lower tail of the educational attainment distribution, a possibility that was conjectured by others, but has not yet been confirmed empirically. The evidence suggests that the incentive effect of the program increases weak students' test scores by at least 0.1 standard deviations, roughly the score gain associated to a half year of school learning.

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  • Lamarche, Carlos, 2011. "Measuring the incentives to learn in Colombia using new quantile regression approaches," Journal of Development Economics, Elsevier, vol. 96(2), pages 278-288, November.
  • Handle: RePEc:eee:deveco:v:96:y:2011:i:2:p:278-288
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    Cited by:

    1. Damette, Olivier & Delacote, Philippe, 2012. "On the economic factors of deforestation: What can we learn from quantile analysis?," Economic Modelling, Elsevier, pages 2427-2434.
    2. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    3. V. Chernozhukov & C. Hansen, 2013. "Quantile Models with Endogeneity," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 57-81, May.
    4. Vinish Shrestha, 2015. "Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults," American Journal of Health Economics, MIT Press, vol. 1(2), pages 224-254, Spring.
    5. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    6. repec:eee:eneeco:v:68:y:2017:i:c:p:1-18 is not listed on IDEAS
    7. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016. "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 220-227.
    8. Foureaux Koppensteiner, Martin, 2014. "Automatic grade promotion and student performance: Evidence from Brazil," Journal of Development Economics, Elsevier, pages 277-290.
    9. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    10. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, pages 705-750.
    11. William Miles & Samuel Schreyer, 2014. "Is monetary policy non-linear in Latin America? a quantile regression approach to Brazil, Chile, Mexico and Peru," Journal of Developing Areas, Tennessee State University, College of Business, vol. 48(2), pages 169-183, April-Jun.
    12. You, Wan-Hai & Zhu, Hui-Ming & Yu, Keming & Peng, Cheng, 2015. "Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels," World Development, Elsevier, vol. 66(C), pages 189-207.

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