Policy Evaluation Using Causal Inference Methods

Denis Fougere and Nicolas Jacquemet ()

No 12922, IZA Discussion Papers from IZA Network @ LISER

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: evaluation methods; causal inference; causal effects (search for similar items in EconPapers)
JEL-codes: C1 C2 C3 C54 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2020-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published - published in: Nigar Hashimzade and Michael A. Thornton (eds.), Handbook of Research Methods and Applications in Empirical Microeconomics, Cheltenham Glos: Edward Elgar Publishing, 2021

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https://docs.iza.org/dp12922.pdf (application/pdf)

Related works:
Working Paper: Policy Evaluation Using Causal Inference Methods (2021)
Working Paper: Policy Evaluation Using Causal Inference Methods (2021)
Working Paper: Policy Evaluation Using Causal Inference Methods (2021)
Working Paper: Policy Evaluation Using Causal Inference Methods (2021)
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)
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Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp12922

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