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Reservation Wages and Workers' Valuation of Job Flexibility: Evidence from a Natural Field Experiment

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  • Kuan-Ming Chen
  • Min Ding
  • John List
  • Magne Mogstad

Abstract

Recent changes in labor arrangements have increased interest in estimating and understanding the value of job flexibility. We leverage a large natural field experiment at Uber to create exogenous variation in expected market wages across individuals and over time. Combining this experiment with high frequency panel data on wages and individual work decisions, we document how labor supply responds to exogenous changes in expected market wages in a setting with virtually no restrictions on drive labor allocation. We find that there is i) systematic heterogeneity in labor supply responses both across drivers and within a driver over time, ii) significant fixed costs of beginning a shift, and iii) high rider demand when it is costly for drivers to work. These three findings motivate a model of labor supply with heterogeneous preferences over work schedules, adjustment costs, and statistical dependence between market wages and the costs of driving. We recover the labor supply elasticities and reservation wages of this dynamic labor supply model via a combination of experimental estimates and other data moments. We then perform counterfactual analyses that allow us to examine how preference heterogeneity and adjustment costs influence the responses of workers' to wage incentives as well as infer drivers' willingness to pay for the ability to customize and adjust their work schedule. We also show that a static approach to the driver's dynamic problem delivers materially different estimates of workers' labor supply elasticities and their value of job flexibility.

Suggested Citation

  • Kuan-Ming Chen & Min Ding & John List & Magne Mogstad, 2020. "Reservation Wages and Workers' Valuation of Job Flexibility: Evidence from a Natural Field Experiment," Natural Field Experiments 00715, The Field Experiments Website.
  • Handle: RePEc:feb:natura:00715
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    References listed on IDEAS

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    Cited by:

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    3. Boltz, Marie & Cockx, Bart & Diaz, Ana Maria & Salas, Luz Magdalena, 2020. "How does working-time flexibility affect workers’ productivity in a routine job?," ROA Research Memorandum 010, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    4. Kesternich, Iris & Schumacher, Heiner & Siflinger, Bettina & Valder, Franziska, 2022. "Reservation wages and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 583-607.
    5. Marie Boltz & Bart Cockx & Ana Maria Diaz & Luz Magdalena Salas, 2023. "How does working‐time flexibility affect workers' productivity in a routine job? Evidence from a field experiment," British Journal of Industrial Relations, London School of Economics, vol. 61(1), pages 159-187, March.
    6. Banerjee, Rakesh & Bharati, Tushar & Fakir, Adnan & Qian, Yiwei & Sunder, Naveen, 2024. "Gender Differences in Preferences for Flexible Work Hours: Experimental Evidence from an Online Freelancing Platform," IZA Discussion Papers 17434, Institute of Labor Economics (IZA).
    7. Mikhail Golosov & Michael Graber & Magne Mogstad & David Novgorodsky, 2024. "How Americans Respond to Idiosyncratic and Exogenous Changes in Household Wealth and Unearned Income," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(2), pages 1321-1395.
    8. Joshua D. Gottlieb & Avi Zenilman, 2020. "When Nurses Travel: Labor Supply Elasticity During COVID-19 Surges," Working Papers 2020-166, Becker Friedman Institute for Research In Economics.
    9. Díaz Escobar, Ana María & Salas Bahamón, Luz Magdalena & Piras, Claudia & Suaya, Agustina, 2024. "Gender Disparities in Valuing Remote and Hybrid Work in Latin America," IDB Publications (Working Papers) 13439, Inter-American Development Bank.
    10. Joshua D. Gottlieb & Avi Zenilman, 2020. "When Workers Travel: Nursing Supply During COVID-19 Surges," NBER Working Papers 28240, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J4 - Labor and Demographic Economics - - Particular Labor Markets

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