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Job Searching and the Weather: Evidence from Time-Use Data

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  • Jorge González Chapela

    (Centro Universitario de la Defensa de Zaragoza)

Abstract

This paper combines individual-level time-use data for 2003–2017 with daily weather observations for U.S. counties to estimate the effects of precipitation and temperature on the intensity of job searching by the unemployed. Linear and nonlinear effects are investigated, along with heterogeneous responses across different populations. A 1 °C increase in maximum (minimum) temperature produces a same-day decrease (increase) in job-search time of close to 0.9 (1.7) minutes. For women, job-search time is 17 min shorter on days of heavy rain, whereas men search some 21 (26) minutes more on days of mild (moderate) rain. These changes do not appear to be offset on subsequent days.

Suggested Citation

  • Jorge González Chapela, 2021. "Job Searching and the Weather: Evidence from Time-Use Data," Journal of Labor Research, Springer, vol. 42(1), pages 29-55, March.
    • Handle: RePEc:spr:jlabre:v:42:y:2021:i:1:d:10.1007_s12122-020-09311-6
    DOI: 10.1007/s12122-020-09311-6
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    More about this item

    Keywords

    Job searching; Weather; Time use; Unemployment;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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