Cargando…

Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS()

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 b...

Descripción completa

Detalles Bibliográficos
Autores principales: Bick, Alexander, Blandin, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671602/
https://www.ncbi.nlm.nih.gov/pubmed/36415762
http://dx.doi.org/10.1016/j.red.2022.11.002
_version_ 1784832585309880320
author Bick, Alexander
Blandin, Adam
author_facet Bick, Alexander
Blandin, Adam
author_sort Bick, Alexander
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9671602
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-96716022022-11-18 Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS() Bick, Alexander Blandin, Adam Rev Econ Dyn Article 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. Elsevier Inc. 2023-07 2022-11-17 /pmc/articles/PMC9671602/ /pubmed/36415762 http://dx.doi.org/10.1016/j.red.2022.11.002 Text en © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bick, Alexander
Blandin, Adam
Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS()
title Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS()
title_full Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS()
title_fullStr Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS()
title_full_unstemmed Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS()
title_short Employer reallocation during the COVID-19 pandemic: Validation and application of a do-it-yourself CPS()
title_sort employer reallocation during the covid-19 pandemic: validation and application of a do-it-yourself cps()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671602/
https://www.ncbi.nlm.nih.gov/pubmed/36415762
http://dx.doi.org/10.1016/j.red.2022.11.002
work_keys_str_mv AT bickalexander employerreallocationduringthecovid19pandemicvalidationandapplicationofadoityourselfcps
AT blandinadam employerreallocationduringthecovid19pandemicvalidationandapplicationofadoityourselfcps