due to mismeasured variables. We consider sample merger by matching on identifiers that may be imperfect in the case that …

We consider the problem of statistical analysis on assortative matching. The random vector of interests consists of the …

status on labour market outcomes using matching methods associated with treatment effect techniques for program evaluation …

Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has … matching estimators. This representation allows the use of martingale limit theorems to derive the asymptotic distribution of … matching estimators. As an illustration of the applicability of the theory, we derive the asymptotic distribution of a matching …

This paper compares the inverse-probability-of-selection-weighting estimation principle with the matching principle and … derives conditions for weighting and matching to identify the same and the true distribution, respectively. This comparison …

non experimental data. After estimating by propensity score matching with multiple treatments, I find a statistically …

We study estimation and non-parametric identification of preferences in two-sided matching markets using data from a … other that does not use information available in many-to-one matching. We also prove consistency of a method of moments … estimator for a parametric model under a data generating process in which the size of the matching market increases, but data …

Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has … matching estimators. This representation allows the use of martingale limit theorems to derive the asymptotic distribution of … matching estimators. As an illustration of the applicability of the theory, we derive the asymptotic distribution of a matching …