Matching and Difference in Difference (DID) are two widespread methods that use pre-treatment outcomes to correct for … values. I find that Matching generally underestimates the average causal effect of the program and gets closer to the true … still performs better than Matching, especially in the middle of the life-cycle. These results are consistent with estimates …

-type equations are arbitrary and subject to parametric misspecifications. We propose using nonparametric matching methods to estimate …

pair-matching, permutation tests, and a Rosenbaum (2002) sensitivity analysis. Together, these methods provide an … results suggest large GATT/WTO trade-promoting e®ects, robust to various restricted matching criteria, alternative indicators … for GATT/WTO involvement, different matching methodologies, non-random incidence of positive trade flows, and inclusion of …

-type equations are arbitrary and subject to parametric misspecifications. We propose using nonparametric matching methods to estimate …

-in-differences estimation model combined with an iterative matching approach. The estimation results suggest that community schools are as …

resistance, without imposing parametric assumptions typically made in gravity-type econometric models. Specifically, matching …

Difference-in-differences with matching is a popular method in impact evaluation. Traditional impact evaluation methods … including difference-in-differences with matching often deal with impact measurement of a single binary program. Imbens (1999 …) and Lechner (2001) extend the matching method to the case of multiple mutually exclusive programs. Frölich (2002 …

matching methods for robustness check. Our results consistently show that access to public credit lines has a significant and …