Policy Evaluation Using Causal Inference Methods
Book section: 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.
Author(s)
Denis Fougère, Nicolas Jacquemet
Publisher(s)
- Edward Elgar Publishing
Scientific editor(s)
- Nigar Hashimzade
- Michael Thornton
Collection
- EDWARD ELGAR HANDBOOK OF RESEARCH METHODS AND APPLICATIONS SERIES
Publisher(s) of the collection
- Mark Casson
Title of the work
- Handbook of Research Methods and Applications in Empirical Microeconomics
Date of publication
- 2021
Keywords JEL
Keywords
- Causal inference
- Evaluation methods
- Causal effects
Pages
- 294-324
URL of the HAL notice
Version
- 1