Data and Code for: Measuring Employer-to-Employer Reallocation

Principal Investigator(s):  View help for Principal Investigator(s) Shigeru Fujita, Federal Reserve Bank of Philadelphia; Giuseppe Moscarini, Yale University; Fabien Postel-Vinay, University College London

Version:  View help for Version V1

Name File Type Size Last Modified
  AEJMacro-2021-0076-Package 11/25/2023 03:40:PM

Project Citation: 

Fujita, Shigeru, Moscarini, Giuseppe, and Postel-Vinay, Fabien. Data and Code for: Measuring Employer-to-Employer Reallocation. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-06-13. https://doi.org/10.3886/E184503V1

Project Description

Summary:  View help for Summary We revisit measurement of Employer-to-Employer (EE) transitions in the monthly Current Population Survey. The incidence of missing answers to the question on change of employer sharply increases starting with the introduction of a new software instrument to conduct interviews in January 2007 and of the Respondent Identification Policy in 2008-2009. We document non-random non-response selection by observable and unobservable worker characteristics that correlate with EE mobility. We propose a selection model and a procedure to impute missing answers. Our imputed EE aggregate series no longer trends down after 2000 and restores a close congruence with the business cycle after 2007.

Scope of Project

Subject Terms:  View help for Subject Terms Survey measurement error; labor market turnover; selection model; business cycle
JEL Classification:  View help for JEL Classification
      E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
      J63 Labor Turnover; Vacancies; Layoffs
Geographic Coverage:  View help for Geographic Coverage United States of America
Time Period(s):  View help for Time Period(s) 1/1994 – 12/2022
Collection Date(s):  View help for Collection Date(s) 1/1994 – 12/2022
Universe:  View help for Universe US civilian non institutionalized population.
Data Type(s):  View help for Data Type(s) survey data

Methodology

Data Source:  View help for Data Source United States Bureau of the Census Economic Surveys, 1994-2022

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Published Versions

V1 [2024-06-13]

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