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due to mismeasured variables. We consider sample merger by matching on identifiers that may be imperfect in the case that …
Persistent link: https://www.econbiz.de/10014024940
Hahn [Hahn, J. (1998). On the role of the propensity score in efficient semiparametric estimation of average treatment effects. Econometrica 66:315-331] derived the semiparametric efficiency bounds for estimating the average treatment effect (ATE) and the average treatment effect on the treated...
Persistent link: https://www.econbiz.de/10009279879
We introduce a nonparametric estimator for local quantile treatment effects in the regression discontinuity (RD) design. The procedure uses local distribution regression to estimate the marginal distributions of the potential outcomes. We illustrate the procedure through Monte Carlo simulations...
Persistent link: https://www.econbiz.de/10011052292
Inverse problems can be described as functional equations where the value of the function is known or easily estimable but the argument is unknown. Many problems in econometrics can be stated in the form of inverse problems where the argument itself is a function. For example, consider a...
Persistent link: https://www.econbiz.de/10014024938
Often researchers find parametric models restrictive and sensitive to deviations from the parametric specifications; semi-nonparametric models are more flexible and robust, but lead to other complications such as introducing infinite-dimensional parameter spaces that may not be compact and the...
Persistent link: https://www.econbiz.de/10014024939
This chapter reviews recent advances in nonparametric and semiparametric estimation, with an emphasis on applicability to empirical research and on resolving issues that arise in implementation. It considers techniques for estimating densities, conditional mean functions, derivatives of...
Persistent link: https://www.econbiz.de/10014024941
This paper presents genetic matching, a method of multivariate matching that uses an evolutionary search algorithm to … determine the weight each covariate is given. Both propensity score matching and matching based on Mahalanobis distance are … limiting cases of this method. The algorithm makes transparent certain issues that all matching methods must confront. We …
Persistent link: https://www.econbiz.de/10011009911
partner reassignment in one-on-one matching models, the average outcome and inequality effects of segregation, and treatment …
Persistent link: https://www.econbiz.de/10014025508
growth of assisted firms. To estimate causal effects a non-parametric matching procedure is used to draw an adequate control …
Persistent link: https://www.econbiz.de/10008634432
statistical matching procedure an adequate control group for comparison with the group of venture-backed firms is drawn. Matching …
Persistent link: https://www.econbiz.de/10008533582