TY - JOUR
T1 - Employer reallocation during the COVID-19 pandemic
T2 - Validation and application of a do-it-yourself CPS
AU - Bick, Alexander
AU - Blandin, Adam
N1 - Funding Information:
We thank the Center for the Advanced Study in Economic Efficiency at ASU , the Office of the Vice President for Research and Innovation at VCU , and the Federal Reserve Bank of Dallas for generous financial support. We thank Carola Grebitus, Richard Laborin, and Raphael Schoenle for crucial help starting this project, Virginia Leiter and Brynne Townley at Qualtrics, and Jason Faberman, Bart Hobijn, Marianna Kudlyak, Karel Mertens, Ryan Michaels, Todd Schoellman, Greg Veramendi, David Wiczer, Ioannis Kospentaris, Bruno Sultanum, Basit Zafar, and George Fortier for helpful feedback and discussions. We also thank Minju Jeong and Juan Odriozola for outstanding research assistance. The Real-Time Population Survey is conducted in collaboration with the Federal Reserve Bank of Dallas. The results from the Real-Time Population Survey do not represent official forecasts or views of the Federal Reserve Banks of St. Louis and Dallas, its Presidents, the Federal Reserve System, or the Federal Open Market Committee. The paper also uses data from surveys administered by the Understanding America Study, which is maintained by the Center for Economic and Social Research (CESR) at the University of Southern California. The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of USC or UAS. The collection of the UAS COVID-19 tracking data is supported in part by the Bill & Melinda Gates Foundation and by grant U01AG054580 from the National Institute on Aging. A previous version of this paper was titled “The Labor Market Impact of a Pandemic: Validation and Application of a Do-It-Yourself CPS”.
Funding Information:
We thank the Center for the Advanced Study in Economic Efficiency at ASU, the Office of the Vice President for Research and Innovation at VCU, and the Federal Reserve Bank of Dallas for generous financial support. We thank Carola Grebitus, Richard Laborin, and Raphael Schoenle for crucial help starting this project, Virginia Leiter and Brynne Townley at Qualtrics, and Jason Faberman, Bart Hobijn, Marianna Kudlyak, Karel Mertens, Ryan Michaels, Todd Schoellman, Greg Veramendi, David Wiczer, Ioannis Kospentaris, Bruno Sultanum, Basit Zafar, and George Fortier for helpful feedback and discussions. We also thank Minju Jeong and Juan Odriozola for outstanding research assistance. The Real-Time Population Survey is conducted in collaboration with the Federal Reserve Bank of Dallas. The results from the Real-Time Population Survey do not represent official forecasts or views of the Federal Reserve Banks of St. Louis and Dallas, its Presidents, the Federal Reserve System, or the Federal Open Market Committee. The paper also uses data from surveys administered by the Understanding America Study, which is maintained by the Center for Economic and Social Research (CESR) at the University of Southern California. The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of USC or UAS. The collection of the UAS COVID-19 tracking data is supported in part by the Bill & Melinda Gates Foundation and by grant U01AG054580 from the National Institute on Aging. A previous version of this paper was titled “The Labor Market Impact of a Pandemic: Validation and Application of a Do-It-Yourself CPS”.
Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2023/7
Y1 - 2023/7
N2 - Economists have recently begun using independent online surveys to collect national labor market data. Questions remain over the quality of such data. This paper provides an approach to address these concerns. Our case study is the Real-Time Population Survey (RPS), a novel online survey of the US built around the Current Population Survey (CPS). The RPS replicates core components of the CPS, ensuring comparable measures that allow us to weight and rigorously validate our results using a high-quality benchmark. At the same time, special questions in the RPS yield novel information regarding employer reallocation during the COVID-19 pandemic. We estimate that 26% of pre-pandemic workers were working for a new employer one year into the COVID-19 outbreak in the US, at least double the rate of any previous episode in the past quarter century. Our discussion contains practical suggestions for the design of novel labor market surveys and highlights other promising applications of our methodology.
AB - Economists have recently begun using independent online surveys to collect national labor market data. Questions remain over the quality of such data. This paper provides an approach to address these concerns. Our case study is the Real-Time Population Survey (RPS), a novel online survey of the US built around the Current Population Survey (CPS). The RPS replicates core components of the CPS, ensuring comparable measures that allow us to weight and rigorously validate our results using a high-quality benchmark. At the same time, special questions in the RPS yield novel information regarding employer reallocation during the COVID-19 pandemic. We estimate that 26% of pre-pandemic workers were working for a new employer one year into the COVID-19 outbreak in the US, at least double the rate of any previous episode in the past quarter century. Our discussion contains practical suggestions for the design of novel labor market surveys and highlights other promising applications of our methodology.
KW - Employer reallocation
KW - Employer separations
KW - Employment
KW - Online survey
UR - http://www.scopus.com/inward/record.url?scp=85142880370&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142880370&partnerID=8YFLogxK
U2 - 10.1016/j.red.2022.11.002
DO - 10.1016/j.red.2022.11.002
M3 - Article
AN - SCOPUS:85142880370
SN - 1094-2025
VL - 49
SP - 58
EP - 76
JO - Review of Economic Dynamics
JF - Review of Economic Dynamics
ER -