A first aid kit to assess welfare impacts
Keisuke Kawata and
Yasuhiro Sato
Economics Letters, 2021, vol. 205, issue C
Abstract:
We develop a simple framework to measure the impacts of an economic shock on unemployed workers’ welfare quantitatively. We follow the sufficient statistics approach in consulting traditional economic models, and use a standard job search model to derive the sufficient statistics to identify the impacts. We then apply our framework to assess the impacts of the coronavirus disease 2019 (COVID-19) by using regional data of the United States, and international data. Analysis reveals the regions and countries that are severely damaged by the COVID-19.
Keywords: Sufficient statistics; Job search models; Welfare impacts; COVID-19 (search for similar items in EconPapers)
JEL-codes: E24 H00 J64 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176521002056
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:205:y:2021:i:c:s0165176521002056
DOI: 10.1016/j.econlet.2021.109928
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 ().