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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/10013069679
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design (RDD) and proposes simple estimators. Quantile treatment effects are a very helpful tool to characterize the effects of certain interventions on the outcome distribution. The...
Persistent link: https://www.econbiz.de/10013325034
produce lower autocorrelation in the MCMC draws. We also explain how to use the MCMC draws to calculate the marginal effects … shown to perform extremely well. Furthermore, we implement the proposed framework to study crime recidivism in Quebec, a … implemented "tough-on-crime" policy of the Canadian government has been largely successful in reducing the probability of repeat …
Persistent link: https://www.econbiz.de/10012842061
presented points to a causal effect of the IGESP on crime. The most conservative estimates indicate a reduction of 24% in … property crimes and 13% in personal crimes. There is also evidence that the IGESP is associated with improved police response … represented by the program may constitute a first-order factor in a successful policy for fighting crime …
Persistent link: https://www.econbiz.de/10013136711
. We also show that including covariates in the estimation is not only necessary for consistency when the instrumental …
Persistent link: https://www.econbiz.de/10013324857
endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the …
Persistent link: https://www.econbiz.de/10013013571
the linearity restriction in the IV estimation changes the qualitative conclusions about the relevant economic theory and … restriction in IV estimation, and discusses possible remedies. We first examine the biases due to nonlinearity in the commonly … where theory suggests a nonlinear relationship, yet previous research has used linear IV estimators. We find that relaxing …
Persistent link: https://www.econbiz.de/10013137551
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/10013155604
between unemployment and crime also depends on preexisting local crime levels. In order to analyze conjectured nonlinearities … quantile regressions confirm the positive link between unemployment and crime for property crimes, results for assault differ … with respect to the method of estimation. Whereas conventional mean regressions do not show any significant effect (which …
Persistent link: https://www.econbiz.de/10013049754
This paper offers some new directions in the analysis of nonparamertric models with exogenous treatment assignment. The nonparametric approach opens the door to the examination of potentially different distributed outcomes. When combined with cross-validation, it also identifies potentially...
Persistent link: https://www.econbiz.de/10013099687