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Econometrica
Article . 2023 . Peer-reviewed
License: CC BY
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zbMATH Open
Article . 2023
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Optimal Regulation of Noncompete Contracts

Optimal regulation of noncompete contracts
Authors: Shi, Liyan;

Optimal Regulation of Noncompete Contracts

Abstract

I study regulation of noncompete employment contracts, assessing the trade‐off between restricting worker mobility and encouraging firm investment. I develop an on‐the‐job search model in which firms and workers sign dynamic wage contracts with noncompete clauses and firms invest in their workers' general human capital. Employers use noncompete clauses to enforce buyout payments when their workers depart, ultimately extracting rent from future employers. This rent extraction is socially excessive, and restrictions on these clauses can improve efficiency. The optimal regulation policy is characterized. In an application to the managerial labor market using a novel contract data set, I find the optimal policy to be quantitatively close to a ban.

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Keywords

investment holdup, labor reallocation, Contract theory (moral hazard, adverse selection), noncompete contract, dynamic contract, on-the-job search

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
hybrid
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