JOURNAL ARTICLE

License to Layoff? Unemployment Insurance and the Moral Cost of Layoffs.

  • Published In: Organization Science (INFORMS), 2024, v. 35, n. 3. P. 994 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Keum, Dongil Daniel; Meier, Stephan 3 of 3

Abstract

This study investigates the concept of moral cost as a behavioral constraint influencing managerial layoff decisions, proposing that managers experience moral costs from harming employees and that expansions in unemployment insurance (UI) reduce this moral cost, thereby enabling larger layoffs. Using U.S. state-level UI benefit expansions from 1977 to 2007 as a quasi-natural experiment, the authors find that increased UI benefits lead to significantly larger layoffs in firms facing negative economic shocks, with stronger effects for CEOs exhibiting prosocial preferences—such as non-Republican, internally promoted, small-town, or family firm CEOs—and weaker effects when managerial discretion is limited by shareholder or financial pressures. The findings suggest that moral cost plays a substantial but heterogeneous role in layoff decisions and that social insurance expansions, while intended to aid workers, may paradoxically facilitate layoffs by lowering managers' moral constraints. The study contributes to understanding managerial prosociality's impact on firm resource adjustments and highlights implications for corporate governance and social insurance policy design.

Additional Information

  • Source:Organization Science (INFORMS). 2024/05, Vol. 35, Issue 3, p994
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2024
  • ISSN:1047-7039
  • DOI:10.1287/orsc.2022.16734
  • Accession Number:177634269
  • Copyright Statement:Copyright of Organization Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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