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Policy discontinuity and duration outcomes
Berg, Gerard J. van den; Bozio, Antoine; Dias, Mónica Costa - 2014
Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
Persistent link: https://www.econbiz.de/10010403911
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Rates of return to university education : the regression discontinuity design
Fan, Elliott; Meng, Xin; Wei, Zhichao; Zhao, Guochang - 2010
biases. Benefiting from a special feature of the University Admission system in China, which has clear cutoffs for university … average treatment effects might understate the true effects of the university expansion program introduced in China in 1999 … and thereafter. -- Rate of return to education ; regression discontinuity design ; China …
Persistent link: https://www.econbiz.de/10003939256
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Investigating the asymmetric impact of oil prices on GCC stock markets
Cheikh, Nidhaleddine Ben; Ben Naceur, Samy; Kanaan, … - 2020
This paper investigates the presence of asymmetric relationship between oil price movements and Gulf Cooperation Council (GCC) stock markets. We propose the implementation of nonlinear vector smooth transition regression (VSTR) models which offer a greater flexibility when modelling the possible...
Persistent link: https://www.econbiz.de/10012314956
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Nonparametric instrumental variable methods for dynamic treatment evaluation
Berg, Gerard J. van den; Bonev, Petyo; Mammen, Enno - 2016
We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …
Persistent link: https://www.econbiz.de/10011453442
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Regression discontinuity design with continuous measurement error in the running variable
Davezies, Laurent; Le Barbanchon, Thomas - 2017
Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non-differential measurement error, we propose a consistent...
Persistent link: https://www.econbiz.de/10011664486
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Estimating causal effects of alcohol access and use on a broad set of risky behaviors : regression discontinuity evidence
Fletcher, Jason - 2018
A growing body of evidence suggests large increases in criminal behavior and mortality coinciding with a young adult's 21st birthday, when alcohol consumption becomes legal. The policy implications from these findings have focused on the need to reduce drinking among young people, potentially by...
Persistent link: https://www.econbiz.de/10011880608
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How much can we trust causal interpretations of fixed-effects estimators in the context of criminality?
Bjerk, David - 2009
Researchers are often interested in estimating the causal effect of some treatment on individual criminality. For example, two recent relatively prominent papers have attempted to estimate the respective direct effects of marriage and gang participation on individual criminal activity. One...
Persistent link: https://www.econbiz.de/10003895082
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Quantile treatment effects in the regression discontinuity design : process results and gini coefficient
Frölich, Markus; Melly, Blaise - 2010
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10003975413
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Inference on causal effects in a generalized Regression Kink Design
Card, David E.; Lee, David S.; Pei, Zhuan; Weber, Andrea - 2015
We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … endogenous assignment variable (like previous earnings). We provide new results on identification and estimation for these …
Persistent link: https://www.econbiz.de/10010467807
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Breaking ties : regression discontinuity design meets market design
Abdulkadiroğlu, Atila; Angrist, Joshua D.; Narita, Yusuke - 2019
Centralized school assignment algorithms must distinguish between applicants with the same preferences and priorities. This is done with randomly assigned lottery numbers, nonlottery tie-breakers like test scores, or both. The New York City public high school match illustrates the latter, using...
Persistent link: https://www.econbiz.de/10011989205