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

Lamarche, Carlos

doi:10.1016/j.jdeveco.2010.10.003

Cited by 60 publications

(24 citation statements)

References 39 publications

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“…Teachers may for 20 Recent applications of quantile panel methods include Havnes and Mogstad 2010, GamperRabindran, Khan and Timmins 2010and Lamarche 2011 Separate estimates by socio-economic status as proxied by the number of books in the household do not reveal heterogeneous effects along that margin (results not reported). 22 All of the outcome variables in table A3 are based on pupil reported behavioural responses of themselves, their parents and their teachers and should therefore be considered more cautiously.…”

Section: Resultsmentioning

confidence: 98%

Automatic grade promotion and student performance: Evidence from Brazil

Koppensteiner

2014

Journal of Development Economics

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This paper examines the effect of automatic grade promotion on academic achievement in 1,993 public primary schools in Brazil. A difference-in-differences approach that exploits variation over time and across schools in the grade promotion regime allows the identification of the treatment effect of automatic promotion. I find a negative and significant effect of about 7% of a standard deviation on math test scores. I provide evidence in support of the interpretation of the estimates as disincentive effect of automatic promotion. The findings contribute to the understanding of retention policies by focussing on the ex-ante effect of repetition and are important for more complete costbenefit considerations of grade retention.

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Section: Resultsmentioning

confidence: 98%

Automatic grade promotion and student performance: Evidence from Brazil

Koppensteiner

2014

Journal of Development Economics

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“…In addition, k w is the relative weight given to the k-th quantile, which controls for the contribution of the k-th quantile on the estimation of the fixed effect. In this paper, we employ equally weighted quantiles K w k 1  (Alexander et al, 2011;Lamarche, 2011).  is the tuning parameter that reduces the individual effects to zero to improve the performance of the estimate of  .…”

Section: Fixed Effect Panel Quantile Regressionmentioning

confidence: 99%

The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression

et al. 2016

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This study investigates the impact of foreign direct investment (FDI), economic growth and energy consumption on carbon emissions in five selected member countries in the Association of South East Asian Nations (ASEAN-5), including Indonesia, Malaysia, the Philippines, Singapore and Thailand. This paper employs a panel quantile regression model that takes unobserved individual heterogeneity and distributional heterogeneity into consideration. Moreover, to avoid an omitted variable bias, certain related control variables are included in our model. Our empirical results show that the effect of the independent variables on carbon emissions is heterogeneous across quantiles.Specifically, the effect of FDI on carbon emissions is negative, except at the 5th quantile, and becomes significant at higher quantiles. Energy consumption increases carbon emissions, with the strongest effects occurring at higher quantiles. Among the high-emissions countries, greater economic growth and population size appear to reduce emissions. The results of the study also support the validity of the halo effect hypothesis in higher-emissions countries. However, we find little evidence in support of an inverted U-shaped curve in the ASEAN-5 countries. In addition, a higher level of trade openness can mitigate the increase in carbon emissions, especially in low-and high-emissions nations. Finally, the results of the study also provide policymakers with important policy recommendations.

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“…However, recent studies by Chernozhukov andHansen (Chernozhukov andHansen, 2008, 2013) propose an instrumental variable quantile regression (IVQR) approach that deals with both heterogeneity and endogeneity at the same time. Although the IVQR method has been applied in many research fields in economics (Atella, Pace, and Vuri, 2008;Autor, Houseman, and Kerr, 2012;Eren, 2009;Lamarche, 2011;Maynard and Qiu, 2009;Wehby, Murray, Castilla, Lopez-Camelo, and Ohsfeldt, 2009), it is relatively new to the returns to education literature. Only two studies implement IVQR to propose alternative instruments for schooling (Arabsheibani and Staneva, 2012) and to examine the inequality-reducing effect of education in China (Wang, 2013).…”

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confidence: 99%

Heterogeneous returns to education over the wage distribution: Who profits the most?

Balestra

Backes‐Gellner

2017

Labour Economics

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This study presents evidence of heterogeneous returns to education over the wage distribution. The authors use instrumental variable quantile regression and data from the Swiss Labor Force Survey to identify the causal link between education and wages at different quantiles of the conditional distribution of wages. The results provide evidence that there is no unique causal effect of schooling and that for each individual the effect may deviate from those extensively documented by ordinary least squares or two-stage least squares. In particular, while ordinary quantile regression estimates increasing returns in the quantile index, once the endogeneity of schooling is taken into account the authors instead observe higher returns at lower quantiles of the wage distribution. Interpreting the quantile index as a measure of unobserved ability, the results suggest that higher-ability individuals have higher wages, but the slope of their wage-education profile is flatter than that for lowerability individuals.

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

Cited by 60 publications

References 39 publications

Automatic grade promotion and student performance: Evidence from Brazil

Automatic grade promotion and student performance: Evidence from Brazil

The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression

Heterogeneous returns to education over the wage distribution: Who profits the most?

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