The present paper asks under what circumstances a standardisation of evaluations would be feasible in order to enable a comprehensible aggregation of results for the European administration. We argue that in the complex environment of rural development the adequate definition of system...

An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These...

This article reviews Mostly Harmless Econometrics: An Empiricist's Companion, by Joshua D. Angrist and Jorn-Steffen Pischke.

This article studies how job creation subsidies designed for several Spanish regional governments to foster the creation of new permanent contracts during the period 1997-2004 might affect the subsequent employment stability of the eligible workers. We use a triple difference approach that...

In this article, we introduce a Stata implementation of coarsened exact matching, a new method for improving the estimation of causal effects by reducing imbalance in covariates between treated and control groups. Coarsened exact matching is faster, is easier to use and understand, requires...

Abstract Adjusting for a balancing score is sufficient for bias reduction when estimating causal effects including the average treatment effect and effect among the treated. Estimators that adjust for the propensity score in a nonparametric way, such as matching on an estimate of the propensity...

Abstract Ding and Miratrix [ 1 ] recently concluded that adjustment on a pre-treatment covariate is almost always preferable to reduce bias. I extend the examined parameter space of the models considered by Ding and Miratrix, and consider slight extensions of their models as well. Similar to the...