New stylized facts on occupational employment and their implications: Evidence from consistent employment data

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8 Citations (Scopus)


The business cycle properties of occupational employment have not yet been extensively explored because of inconsistencies in the aggregate employment series by occupation. Using consistent aggregate hours data constructed through the method of “conversion factors,” which was developed by the U.S. Census Bureau, we provide new empirical facts on the cyclical behaviors of occupational employment and discuss their implications. First, employment of the middle-skill occupation group is negatively affected by a technology shock, while those of high-skill and low-skill groups are positively correlated with it. Second, it is the middle-skill group that experiences the largest decline in employment volatility after the mid-1980s. Last, recessions since the 1980s have heterogeneous impacts on different occupations, defining the characteristics of each recession. We further discuss the value of having consistent employment data in studies of business cycles.

Original languageEnglish
Pages (from-to)402-415
Number of pages14
JournalEconomic Modelling
Publication statusPublished - 2016 Dec 1

Bibliographical note

Funding Information:
A previous version of the paper was circulated under the titles “Business Cycle Properties of Job Polarization Using Consistent Occupational Data” or “Unveiling Business Cycle Properties of Occupational Employment using Consistent Data of Occupations.” The authors gratefully acknowledge the constructive comments made by three anonymous referees and the Editor. The authors also thank David Autor, Tomaz Cajner, David Dorn, Youjin Hahn, Pushkar Maitra, Bruce Preston, Valerie Ramey, and Russell Smyth for their helpful comments. Yu Jung Whang provided excellent research assistance. Hee-Seung Yang gratefully acknowledges the financial support from Monash University .

Publisher Copyright:
© 2016 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics


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