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How reliable are administrative reports of paid work hours?

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  • Lachowska, Marta
  • Mas, Alexandre
  • Woodbury, Stephen A.

Abstract

This paper examines the quality of quarterly records on work hours collected from employers in the State of Washington to administer the unemployment insurance (UI) system, specifically to determine eligibility for UI. We subject the administrative records to four “trials,” all of which suggest the records reliably measure paid hours of work. First, distributions of hours in the administrative records and Current Population Survey outgoing rotation groups (CPS) both suggest that 52–54% of workers work approximately 40 hours per week. Second, in the administrative records, quarter-to-quarter changes in the log of earnings are highly correlated with quarter-to-quarter changes in the log of paid hours. Third, annual changes in Washington's minimum wage rate (which is indexed) are clearly reflected in year-to-year changes in the distribution of paid hours in the administrative data. Fourth, Mincer-style wage rate and earnings regressions using the administrative data produce estimates similar to those found elsewhere in the literature.

Suggested Citation

  • Lachowska, Marta & Mas, Alexandre & Woodbury, Stephen A., 2022. "How reliable are administrative reports of paid work hours?," Labour Economics, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:labeco:v:75:y:2022:i:c:s0927537122000240
    DOI: 10.1016/j.labeco.2022.102131
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    Cited by:

    1. Daniele Checchi & Cecilia Garcia-Peñalosa & Lara Vivian, 2022. "Hours Inequality," Working Papers hal-03872764, HAL.
    2. Jäger, Simon & Heining, Jörg, 2019. "How Substitutable Are Workers? Evidence from Worker Deaths," MPRA Paper 109757, University Library of Munich, Germany, revised 01 Jan 2019.
    3. Checchi, Daniele & Garca-Peñalosa, Cecilia & Vivian, Lara, 2022. "Hours Inequality," IZA Discussion Papers 15759, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Work hours; Earnings; Measurement; Administrative data;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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