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Policy Evaluation Using Causal Inference Methods

Denis Fougère () and Nicolas Jacquemet ()
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Denis Fougère: CNRS - Centre National de la Recherche Scientifique, OSC - Observatoire sociologique du changement (Sciences Po, CNRS) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique, LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po, CEPR - Center for Economic Policy Research, IZA - Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics

PSE-Ecole d'économie de Paris (Postprint) from HAL

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 (search for similar items in EconPapers)
Date: 2021-11
Note: View the original document on HAL open archive server: https://hal.science/hal-03098058v1
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Published in Nigar Hashimzade; Michael Thornton. Handbook of Research Methods and Applications in Empirical Microeconomics, Edward Elgar Publishing, pp.294-324, 2021, EDWARD ELGAR HANDBOOK OF RESEARCH METHODS AND APPLICATIONS SERIES, 9781788976473

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Related works:
Working Paper: Policy Evaluation Using Causal Inference Methods (2021) Downloads
Working Paper: Policy Evaluation Using Causal Inference Methods (2021) Downloads
Working Paper: Policy Evaluation Using Causal Inference Methods (2021) Downloads
Working Paper: Policy Evaluation Using Causal Inference Methods (2020)
Working Paper: Policy Evaluation Using Causal Inference Methods (2020)
Working Paper: Policy Evaluation Using Causal Inference Methods (2020)
Working Paper: Policy Evaluation Using Causal Inference Methods (2020) Downloads
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