Policy Evaluation Using Causal Inference Methods

Denis Fougere and Nicolas Jacquemet ()

SciencePo Working papers Main from HAL

Abstract: This working-paper 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 effetcs; statistics (search for similar items in EconPapers)
Date: 2020-01
Note: View the original document on HAL open archive server: https://hal-sciencespo.archives-ouvertes.fr/hal-03455978
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:spmain:hal-03455978

Access Statistics for this paper

More papers in SciencePo Working papers Main from HAL
Bibliographic data for series maintained by Contact - Sciences Po Departement of Economics ().