Voucher Program Incentives and Schooling Performance in Colombia: a Quantile Regression for Panel Data Approach∗
نویسندگان
چکیده
Abstract. Angrist et al. (2002) study is reconsidered using a relatively new quantile regression approach for panel data models. The evidence suggests that the effect of winning a Colombian voucher is largest in the lower tail of the educational attainment distribution, a possibility that was conjectured by the original authors, but could not be confirmed empirically using existing regression methods. This finding supports the hypothesis that lottery winners’ incentive to study harder could account for the impact of the vouchers, including lower repetition rate.
منابع مشابه
Bayesian Quantile Regression with Adaptive Lasso Penalty for Dynamic Panel Data
Dynamic panel data models include the important part of medicine, social and economic studies. Existence of the lagged dependent variable as an explanatory variable is a sensible trait of these models. The estimation problem of these models arises from the correlation between the lagged depended variable and the current disturbance. Recently, quantile regression to analyze dynamic pa...
متن کاملCentral Mandates and Local Incentives: The Colombia Education Voucher Program
This study examines the incentives for municipalities and private schools to participate in a national voucher program. Cost-minimizing municipalities are predicted to participate when they have relatively few students who are under-served by existing public schools and when there is an elastic supply of private school spaces. Private schools are assumed to be monopolistically competitive with ...
متن کاملInvestigating the effect of renewable and non-renewable energy consumption on social welfare in developing Asian countries: Quantile regression approach
Energy as one of the factors of production along with labor and capital has an important role in development and social welfare. Due to the pollution of non-renewable resources and its negative impact on welfare, the use of renewable resources can improve social welfare by eliminating pollutants. In this study, the effect of renewable and non-renewable energy consumption on social welfare of de...
متن کاملSemi-parametric Quantile Regression for Analysing Continuous Longitudinal Responses
Recently, quantile regression (QR) models are often applied for longitudinal data analysis. When the distribution of responses seems to be skew and asymmetric due to outliers and heavy-tails, QR models may work suitably. In this paper, a semi-parametric quantile regression model is developed for analysing continuous longitudinal responses. The error term's distribution is assumed to be Asymmetr...
متن کاملBayesian Quantile Regression with Adaptive Elastic Net Penalty for Longitudinal Data
Longitudinal studies include the important parts of epidemiological surveys, clinical trials and social studies. In longitudinal studies, measurement of the responses is conducted repeatedly through time. Often, the main goal is to characterize the change in responses over time and the factors that influence the change. Recently, to analyze this kind of data, quantile regression has been taken ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007