… world can be inferred only indirectly through evaluation designs that … counterfactual outcomes
is quixotic. This chapter argues that elucidating causal relationships through counterfactual …

… The purpose of this paper is to offer empirical evidence on the impact generated by … databases)
that are typically available for counterfactual impact evaluations of firm-level intervention. …

… on the application of the counterfactual impact evaluations (hereinafter as CIE). … counterfactual
impact evaluation approach, which has been a rarely used method to evaluate impact …

… In this report we describe the policy evaluation framework and the different counterfactual
analysis evaluation strategies: propensity score matching, regression discontinuity design, …

… In this paper, we consider the counterfactual impact evaluation (CIE) to be sufficient evidence
due to the fact that it shows causal effects of implemented measures on treated individuals. …

… as the counterfactual result. In reality we do not and cannot observe counterfactuals results
for … What is done instead by using the matching approach is to estimate counterfactual results …

This paper uses data collected from 452 sampled households to estimate the impact of
improved sorghum varieties (ISVs) on poverty reduction in Tharaka Nithi County, Kenya. …

… This report evaluates the YEI implementation in Portugal, using counterfactual impact
evaluation (CIE) methods to estimate its causal impact on young individuals’ labour market …

… practices of impact evaluation in the environmental sciences: “In presentations on evaluation
to … accurate impact evaluations of protected areas, as exemplified next. In early studies, the …

… Thus, because our main goal was to compare counterfactual and traditional impact evaluation
methods, we simplified the results by not considering refinements such as calipers, and by …