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The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments

Author

Listed:
  • Ariel Goldszmidt

    (Lyft)

  • John A. List

    (University of Chicago - Department of Economics; NBER)

  • Robert D. Metcalfe

    (Boston University - Questrom School of Business; NBER)

  • Ian Muir

    (Lyft)

  • V. Kerry Smith

    (Arizona State University - W.P. Carey School of Business; NBER)

  • Jenny Wang

    (Lyft)

Abstract

The value of time determines relative prices of goods and services, investments, productivity, economic growth, and measurements of income inequality. Economists in the 1960s began to focus on the value of non-work time, pioneering a deep literature exploring the optimal allocation and value of time. By leveraging key features of these classic time allocation theories, we use a novel approach to estimate the value of time (VOT) via two large-scale natural field experiments with the ridesharing company Lyft. We use random variation in both wait times and prices to estimate a consumer's VOT with a data set of more than 14 million observations across consumers in U.S. cities. We find that the VOT is roughly $19 per hour (or 75% (100%) of the after-tax mean (median) wage rate) and varies predictably with choice circumstances correlated with the opportunity cost of wait time. Our VOT estimate is larger than what is currently used by the U.S. Government, suggesting that society is under-valuing time improvements and subsequently under-investing public resources in time-saving infrastructure projects and technologies.

Suggested Citation

  • Ariel Goldszmidt & John A. List & Robert D. Metcalfe & Ian Muir & V. Kerry Smith & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," Working Papers 2020-179, Becker Friedman Institute for Research In Economics.
    • Handle: RePEc:bfi:wpaper:2020-179
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    JEL classification:

    • D0 - Microeconomics - - General
    • D1 - Microeconomics - - Household Behavior
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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