This paper estimates causal effects of two Polish active labor market policies – Training and Intervention Works – on employment probabilities. Using data from the 18th wave of the Polish Labor Force Survey we discuss three stages of an appropriately designed matching procedure and...

We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case of selection on unobservables. We then propose a new minimum biased estimator of the average treatment effect. We assess the finite sample performance of our estimator using...

Macroeconomists have long been concerned with the causal effects of monetary policy. When the identification of causal effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes and policy changes. This paper develops a...

In this paper we examine the impacts on child health, using diarrhoea as the health outcome, (amongst children living in households) with access to different types of water and sanitation facilities, and from socio-economic and child specific factors. Using cross-sectional health survey data for...

We apply different matched-pair methods to evaluate the policy of sustaining the adoption of advanced manufacturing technologies by Swiss firms and we compare it in decomposing the selection bias. In this aim we present the evaluation problem, the decomposition of the selection bias and the...

In the practice of program evaluation, choosing the covariates and the functional form of the propensity score is an important choice that the researchers make when estimating treatment effects. This paper proposes a data-driven way of averaging the estimators over the candidate specifications...