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