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

This study estimates the value of time to be higher than what is currently used by the US government, that society is undervaluing time improvements and subsequently underinvesting public resources in time-saving infrastructure projects and technologies.

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Date

Dec. 17, 2020

Authors

Ariel Goldszmidt, John A. List, Robert D. Metcalfe, Ian Muir, V. Kerry Smith, and Jenny Wang

Publication

Working Paper

Reading time

1 minute

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 US 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 US Government, suggesting that society is under-valuing time improvements and subsequently under-investing public resources in time-saving infrastructure projects and technologies.

Topics

Authors

Ariel Goldszmidt

John A. List

Robert D. Metcalfe

Ian Muir

V. Kerry Smith

Jenny Wang

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