Dynamic Inefficiency in Resource Allocation: Evidence from Vehicle License Lotteries in Beijing

71 Pages Posted: 9 Apr 2020 Last revised: 30 Oct 2023

See all articles by Youming Liu

Youming Liu

Bank of Canada

Shanjun Li

Cornell University - School of Applied Economics and Management; Cornell SC Johnson College of Business

Caixia Shen

Shanghai University of Finance and Economics

Multiple version iconThere are 2 versions of this paper

Date Written: March 2, 2020

Abstract

The efficiency of resource allocation is often analyzed in a static framework with a focus on
the cross-sectional heterogeneity in the willingness to pay among users. When the resource
is durable in nature, the temporal heterogeneity could be important in assessing the efficiency
properties of different allocation mechanisms. This paper uses a dynamic model to empirically
quantify the efficiency outcome of using lotteries to allocate resources among forward-looking
consumers. In the context of the lottery policy to allocate limited vehicle licenses in Beijing,
our analysis shows that lotteries significantly affect intertemporal decisions in that households
participate in lotteries at least six months earlier than their intended vehicle purchase time in
the absence of the policy. The welfare loss due to early participation (i.e. dynamic inefficiency)
accounts for nearly half of the total welfare loss from lotteries relative to the first-best alloca-
tion. The analysis highlights the importance of accounting for dynamics in designing resource
allocation mechanisms.

Keywords: Dynamic inefficiency, Lottery, Resource Allocation

JEL Classification: Q58, R48

Suggested Citation

Liu, Youming and Li, Shanjun and Shen, Caixia, Dynamic Inefficiency in Resource Allocation: Evidence from Vehicle License Lotteries in Beijing (March 2, 2020). Available at SSRN: https://ssrn.com/abstract=3547563 or http://dx.doi.org/10.2139/ssrn.3547563

Youming Liu

Bank of Canada ( email )

234 Wellington St.
Ottawa, Ontario K1A 0G9
Canada

HOME PAGE: http://youming-liu.com

Shanjun Li (Contact Author)

Cornell University - School of Applied Economics and Management ( email )

405 Warren Hall
Ithaca, NY 14853
United States

Cornell SC Johnson College of Business ( email )

Ithaca, NY 14850
United States

Caixia Shen

Shanghai University of Finance and Economics ( email )

777 Guoding Road
Shanghai, AK Shanghai 200433
China

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