• Corpus ID: 34417860

A Primer for Applying Propensity-Score Matching Impact-Evaluation Guidelines

  title={A Primer for Applying Propensity-Score Matching Impact-Evaluation Guidelines},
  author={Carolyn J. Heinrich and Alessandro Maffioli and Gonzalo V{\'a}zquez},
Carolyn Heinrich Alessandro Maffioli Gonzalo Vázquez The use of microeconometric techniques to estimate the effects of development policies has become a common approach not only for scholars, but also for policy-makers engaged in designing, implementing and evaluating projects in different fields. Among these techniques, Propensity-Score Matching (PSM) is increasingly applied in the policy evaluation community. This technical note provides a guide to the key aspects of implementing PSM… 

Figures and Tables from this paper

Does Data Weighting Improve Propensity Scores

Propensity Score Matching (PSM) is the current popular method used to evaluate an impact of the programmes compared to other non-experimental methods. The method is the most widely used type of

Building in an Evaluation Component for Active Labor Market Programs: A Practitioner's Guide

The guide outlines the main evaluation challenges associated with ALMP’s, and shows how to obtain rigorous impact estimates using two leading evaluation approaches. The most credible and


(ProQuest: ... denotes formulae omitted.)INTRODUCTION:Market players have several ways of obtaining information to be used in making strategic decisions regarding their products. One of which is the

Exploring Alternative Methodologies for Robust Inferences: Applications in Environmental and Health Economics

Researchers often invoke strong assumptions in empirical analyses to identify significant statistical outcomes. Invoking assumptions that do not sufficiently reflect the occurrence of true phenomenon

Assessing the Impact of Cluster Policies: the case of the Arranjos Productivos Locais in Brazil

This paper assesses the impact of a cluster development policy in Latin America. A Local Productive Arrangement (APL) is a cluster of firms within the same territory, operating around the same

Impact of R&D Subsidies on Enterprise Performance in the Czech Republic

The attention and support that R&D receives from economists and politicians reflects its importance as a key element of competitiveness and growth in advanced economies. But the real effect of policy

Effect of International Remittances on Poverty in Rwanda

International remittances to developing countries have been increasing in the recent decades and they constitute a critical lifeline for millions of recipient households. However, there is a growing

Analysis of Effects of Agriculture Intervention Using Propensity Score Matching

Nowadays, the agriculture extension programmes are practiced in many parts of the world. There is a mixture of results about the effects of agriculture intervention programmes. The literature shows

Impact of welfare sanctions on employment and benefit receipt: Considering top-up benefits and indirect sanctions

This comprehensive study on UB-II-sanctions in Germany, applying PSM, presents the ex-post effects of welfare sanctions on several employment states for diverse (sub-)groups of employable welfare



Some Practical Guidance for the Implementation of Propensity Score Matching

Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in

Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?

It is found that estimates of the impact of NSW based on propensity score matching are highly sensitive to both the set of variables included in the scores and the particular analysis sample used in the estimation.

Program Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labor Market Policies

  • M. Lechner
  • Economics
    Review of Economics and Statistics
  • 2002
This paper addresses microeconometric evaluation by matching methods when the programs under consideration are heterogeneous. Assuming that selection into the different subprograms and the potential

Propensity Score-Matching Methods for Nonexperimental Causal Studies

This paper considers causal inference and sample selection bias in nonexperimental settings in which (i) few units in the nonexperimental comparison group are comparable to the treatment units, and

The Impact of Subsidized Health Insurance for the Poor: Evaluating the Colombian Experience Using Propensity Score Matching

It is found that Colombia’s subsidized insurance program greatly increased medical care utilization among the country’'s poor and uninsured, which supports the case for other Latin American countries implementing similar subsidy programs for health insurance for the poor.

Estimating the Effects of Length of Exposure to a Training Program: The Case of Job Corps

In this paper, it is illustrated how recently developed methods for the estimation of causal effects from continuous treatments can be used to learn about the consequences of heterogeneous lengths of enrollment in the evaluation of training programs.

Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching

We apply recent advances in propensity-score matching (PSM) to the problem of estimating the distribution of net income gains from an Argentinean workfare program. PSM has a number of attractive

The central role of the propensity score in observational studies for causal effects

Abstract : The results of observational studies are often disputed because of nonrandom treatment assignment. For example, patients at greater risk may be overrepresented in some treatment group.

Causal Inference With General Treatment Regimes

In this article we develop the theoretical properties of the propensity function, which is a generalization of the propensity score of Rosenbaum and Rubin. Methods based on the propensity score have

Matching As An Econometric Evaluation Estimator

This paper develops the method of matching as an econometric evaluation estimator. A rigorous distribution theory for kernel-based matching is presented. The method of matching is extended to more