Policy Evaluation Using Causal Inference Methods

37 Pages Posted: 28 Jan 2020

See all articles by Denis Fougère

Denis Fougère

National Center for Scientific Research (CNRS); CNRS and SCIENCES PO PARIS; IZA Institute of Labor Economics; Centre for Economic Policy Research (CEPR)

Nicolas Jacquemet

Paris School of Economics (PSE); Université Paris I Panthéon-Sorbonne

Abstract

This chapter describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the need to pay particular attention to the accuracy of the estimated effects, but also on the requirement to replicate assessments, carried out by experimentation or quasi-experimentation, in order to distinguish false positives from proven effects.

Keywords: causal inference, evaluation methods, causal effects

JEL Classification: C1, C2, C3, C54

Suggested Citation

Fougere, Denis and Fougere, Denis and Jacquemet, Nicolas, Policy Evaluation Using Causal Inference Methods. IZA Discussion Paper No. 12922, Available at SSRN: https://ssrn.com/abstract=3525250 or http://dx.doi.org/10.2139/ssrn.3525250

Denis Fougere (Contact Author)

National Center for Scientific Research (CNRS)

3, rue Michel-Ange
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France

CNRS and SCIENCES PO PARIS ( email )

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Paris, 75007
France
+33149543764 (Phone)
75007 (Fax)

HOME PAGE: http://https://www.sciencespo.fr/osc/fr/node/1609.html

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Centre for Economic Policy Research (CEPR) ( email )

London
United Kingdom

Nicolas Jacquemet

Paris School of Economics (PSE) ( email )

48 Boulevard Jourdan
Paris, 75014 75014
France

Université Paris I Panthéon-Sorbonne ( email )

17, rue de la Sorbonne
Paris, 75005
France

HOME PAGE: http://www.nicolasjacquemet.com/

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