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

61 Pages Posted: 16 Dec 2020

See all articles by Ariel Goldszmidt

Ariel Goldszmidt

Lyft, Inc.

John A. List

University of Chicago - Department of Economics

Ian Muir

Lyft, Inc.

Robert D. Metcalfe

Boston University

V. Kerry Smith

Arizona State University (ASU) - Economics Department; National Bureau of Economic Research (NBER)

Jenny Wang

Lyft, Inc.

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Date Written: December 14, 2020

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.

JEL Classification: D0,D1,R4

Suggested Citation

Goldszmidt, Ariel and List, John A. and Muir, Ian and Metcalfe, Robert D. and Smith, V. Kerry and Wang, Jenny, The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments (December 14, 2020). University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2020-179, Available at SSRN: https://ssrn.com/abstract=3748629 or http://dx.doi.org/10.2139/ssrn.3748629

Ariel Goldszmidt

Lyft, Inc. ( email )

San Francisco, CA

John A. List (Contact Author)

University of Chicago - Department of Economics ( email )

1126 East 59th Street
Chicago, IL 60637
United States

Ian Muir

Lyft, Inc. ( email )

San Francisco, CA

Robert D. Metcalfe

Boston University ( email )

595 Commonwealth Avenue
Boston, MA 02215
United States

V. Kerry Smith

Arizona State University (ASU) - Economics Department ( email )

Tempe, AZ 85287-3806
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Jenny Wang

Lyft, Inc. ( email )

San Francisco, CA

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