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If You Don't Snooze You Lose: Evidence on Health and Weight

Author

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  • Giuntella, Osea

    (University of Pittsburgh)

  • Mazzonna, Fabrizio

    (USI Università della Svizzera Italiana)

Abstract

Most economic models consider sleeping as a pre-determined and homogeneous constraint on individuals' time allocation neglecting its potential effects on health and human capital. Several medical studies provide evidence of important associations between sleep deprivation and health outcomes suggesting a large impact on health care systems and individual productivity. Yet, there is little causal analysis of the effects of sleep duration. This paper uses a spatial regression discontinuity design to identify the effects of sleep on health status, weight, and cognitive abilities. Our results suggest that delaying morning work schedules and school start times may have non-negligible effects on health.

Suggested Citation

  • Giuntella, Osea & Mazzonna, Fabrizio, 2016. "If You Don't Snooze You Lose: Evidence on Health and Weight," IZA Discussion Papers 9773, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp9773
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    References listed on IDEAS

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    Cited by:

    1. Bellmann, Lutz & Hübler, Olaf, 2019. "Personal Attitudes, Job Characteristics and Health," IZA Discussion Papers 12597, Institute of Labor Economics (IZA).
    2. Lutz Bellmann & Olaf Hübler, 2022. "Personality traits, working conditions and health: an empirical analysis based on the German Linked Personnel Panel, 2013–2017," Review of Managerial Science, Springer, vol. 16(2), pages 283-318, February.

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    More about this item

    Keywords

    regression discontinuity; time use; sleep deprivation; obesity; health;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • 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

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