Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
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.