Showing 1 - 10 of 20
This paper studies on the determinants of income and urban-rural income gap to shed light on the problem of urban …-rural income inequality in China. OLS, conditional quantile regression and Blinder-Oaxaca decomposition methods are used to analyze … essential determinants of households' income level. These two factors exert heterogeneous effects at different percentiles of …
Persistent link: https://www.econbiz.de/10013064627
Labor Income Panel Study, KLIPS, quantile regression technique and decomposition method are conducted to identify and … decompose the wage gap between low (poor) and middle class income group along the whole current wage distribution, based on a …
Persistent link: https://www.econbiz.de/10013073504
Starting from Professor Kornai´s assertion about the necessity to focus on the long-termperspectives of the transformation process, we analyze in this paper the Lisbon performanceof the countries of the European Union from such a long-term, structural perspective. Wepresent in a simple form the...
Persistent link: https://www.econbiz.de/10005861200
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
effects (i) of education on health, which may be mediated by income, and (ii) of the Job Corps training program, which may …
Persistent link: https://www.econbiz.de/10013051443
This paper evaluates the effects of a major Swedish school choice reform. The reform in 1992 increased school choice and competition among public schools as well as through a large-scale introduction of private schools. We estimate the effects of school choice and competition, using precise...
Persistent link: https://www.econbiz.de/10013060134
This paper develops IV estimators for unconditional quantile treatment effects (QTE) when the treatment selection is endogenous. In contrast to conditional QTE, i.e. the effects conditional on a large number of covariates X, the unconditional QTE summarize the effects of a treatment for the...
Persistent link: https://www.econbiz.de/10013324857
Traditional instrumental variable estimators do not generally estimate effects for the treated population but for the unobserved population of compliers. They do identify effects for the treated when there is one-sided perfect non-compliance. However, this property is lost when covariates are...
Persistent link: https://www.econbiz.de/10013324998
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
This paper investigates the finite sample performance of a comprehensive set of semi- and nonparametric estimators for treatment and policy evaluation. In contrast to previous simulation studies which mostly considered semiparametric approaches relying on parametric propensity score estimation,...
Persistent link: https://www.econbiz.de/10013029647