A simple and robust counterfactual impact evaluation

Zaichao Du and Pei Pei

Economics Letters, 2021, vol. 207, issue C

Abstract: This paper proposes a simple and robust method for evaluating the effect of a policy intervention or an event of interest. As confirmed by some Monte Carlo studies, our method produces more robust and accurate counterfactuals than the existing methods.

Keywords: Impact evaluation; Counterfactual (search for similar items in EconPapers)
JEL-codes: C10 C33 C53 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176521002925
Full text for ScienceDirect subscribers only

Related works:
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:eee:ecolet:v:207:y:2021:i:c:s0165176521002925

DOI: 10.1016/j.econlet.2021.110015

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().