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The measurement of labor supply using March CPS: A cautionary tale
Stockholm University, Faculty of Social Sciences, Institute for International Economic Studies. CEPR, United Kingdom.
2022 (English)In: Economics Letters, ISSN 0165-1765, E-ISSN 1873-7374, Vol. 216, article id 110512Article in journal (Refereed) Published
Abstract [en]

I document evidence of a systematic bias in the widely-used estimate of annual hours worked using the Current Population Survey. The bias stems from multiplying the number of weeks worked by the median – instead of the mean – of weekly working hours. Theoretical and empirical evidence suggests that this bias leads to an overestimation of annual hours.

Place, publisher, year, edition, pages
2022. Vol. 216, article id 110512
Keywords [en]
Labor supply
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Economics and Business
Identifiers
URN: urn:nbn:se:su:diva-216143DOI: 10.1016/j.econlet.2022.110512ISI: 000829780800001Scopus ID: 2-s2.0-85130030150OAI: oai:DiVA.org:su-216143DiVA, id: diva2:1748967
Available from: 2023-04-05 Created: 2023-04-05 Last updated: 2023-04-05Bibliographically approved

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Nekoei, Arash

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