This paper studies the e¤ects of service o¤shoring on the level and skill composition of domestic employment, using a rich data set of Italian …rms and propensity score matching techniques. The results show that service o¤shoring has no e¤ect on the level of employment but changes its composition in favor of high skilled workers.

The aim of this study was to use Monte Carlo simulations to compare logistic regression with propensity scores in terms of bias, precision, empirical coverage probability, empirical power, and robustness when the number of events is low relative to the number of confounders. The authors simulated a cohort study and performed 252,480 trials. In the logistic regression, the bias decreased as the ...

The propensity score methods are widely used to adjust confounding effects in observational studies when comparing treatment effects. The propensity score is defined as the probability of treatment assignment conditioning on some observed baseline characteristics and it provides a balanced score for the treatment conditions as conditioning on the propensity score, the treatment groups are compa...

This issue includes six articles that present logic, methods, and models for causal analyses of observational data, in particular those based on propensity score (PS) methods. The articles include a general introduction to propensity score analysis (PSA), uses of PSA in mediation studies, issues involved in choosing covariates, challenges that often arise in PSA applications, hierarchical data ...

This paper studies the e¤ects of service o¤shoring on the level and skill composition of domestic employment, using a rich data set of Italian …rms and propensity score matching techniques. The results show that service o¤shoring has no e¤ect on the level of employment but changes its composition in favor of high skilled workers.

Empirical evidence from a set of land reform beneficiaries suggests that Zimbabwe’s land reform was successful: the internal rate of return to the land reform project is high, settlers accumulated substantial amounts of assets, and they increased their agricultural productivity substantially over time. This evidence contradicts the general notion that land reform was a failure, a notion support...

Currently available asymptotic results in the literature suggest that matching estimators have higher variance than reweighting estimators. The extant literature comparing the finite sample properties of matching to specific reweighting estimators, however, has concluded that reweighting performs far worse than even the simplest matching estimator. We resolve these puzzling conclusions. Specifi...

Spending on big-time college athletics is often justified on the grounds that athletic success attracts students and raises donations. We exploit data on bookmaker spreads to estimate the probability of winning each game for college football teams. We then condition on these probabilities using a propensity score design to estimate the effects of winning on donations, applications, and enrollme...

Propensity score methods are increasingly being used to reduce or minimize the effects of confounding when estimating the effects of treatments, exposures, or interventions when using observational or non-randomized data. Under the assumption of no unmeasured confounders, previous research has shown that propensity score methods allow for unbiased estimation of linear treatment effects (e.g., d...