matching estimators. This representation allows the use of martingale limit theorems to derive the asymptotic distribution of …Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has … been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for …

matching estimators. This representation allows the use of martingale limit theorems to derive the asymptotic distribution of …Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has … been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for …

article establishes a martingale representation for matching estimators. This representation allows the use of martingale …Matching estimators (Rubin, 1973a, 1977; Rosenbaum, 2002) are widely used in statistical data analysis. However, the … large sample distribution of matching estimators has been derived only for particular cases (Abadie and Imbens, 2006). This …

size. The strong approximation is first proved for heterogeneous martingale difference arrays and then extended to general … mixingales via martingale approximation, readily accommodating a majority of applications in applied econometrics. We use these …–Pissarides search and matching model for equilibrium unemployment, and shed new light on the unemployment volatility puzzle from an …

matching, inverse probability weighting and doubly robust estimators change under the case of correlated covariates …

of selection) in matching, instrumental variable and control functions methods. (2) It contrasts the roles of exclusion … restrictions in matching and selection models. (3) It characterizes the sensivity of matching to the choice of conditioning …. (4) It demonstrates the problem of choosing the conditioning variables in matching and the failure of conventional model …