Your browser doesn't support javascript.
Is Healthcare Employment Resilient and "Recession Proof"?
Dillender, Marcus; Friedson, Andrew; Gian, Cong; Simon, Kosali.
  • Dillender M; School of Public Health, 14681University of Illinois at Chicago, Chicago, IL, USA.
  • Friedson A; National Bureau of Economic Research, Cambridge, MA, USA.
  • Gian C; Economics Department, 12226University of Colorado Denver, Denver, CO, USA.
  • Simon K; O'Neill School of Public and Environmental Affairs, 1771Indiana University Bloomington, Bloomington, IN, USA.
Inquiry ; 58: 469580211060260, 2021.
Article in English | MEDLINE | ID: covidwho-1555336
ABSTRACT
Conventional wisdom often holds that the healthcare sector fares better than other sectors during economic downturns. However, little research has examined the relationship between local economic conditions and healthcare employment. Understanding how the healthcare sector responds to economic conditions is important for policymakers seeking to ensure an adequate supply of healthcare workers, as well as for those directing displaced workers into new jobs. We examine the impact of macroeconomic conditions on both the healthcare labor market and the pipeline of healthcare workers receiving healthcare degrees during 2005-2017 (the pre-COVID era). Our results indicate that the healthcare sector is stable across past business cycles. If anything, when areas experience more severe local economic downturns, healthcare employment increases. Much remains unknown about how the healthcare sector will fare during the current recession. Our study represents an important backdrop as policymakers consider ways to sustain the healthcare sector during current economic and public health turbulence.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Inquiry Year: 2021 Document Type: Article Affiliation country: 00469580211060260

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Inquiry Year: 2021 Document Type: Article Affiliation country: 00469580211060260