IMF Working Papers

Strategic Corporate Layoffs

By Ruchir Agarwal, Julian Kolev

December 28, 2016

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Format: Chicago

Ruchir Agarwal, and Julian Kolev. Strategic Corporate Layoffs, (USA: International Monetary Fund, 2016) accessed December 22, 2024
Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

Firms in the S&P 500 often announce layoffs within days of one another, despite the fact that the average S&P 500 constituent announces layoffs once every 5 years. By contrast, similarsized privately-held firms do not behave in this way. This paper provides empirical evidence that such clustering behavior is largely due to CEOs managing their reputation in financial markets. To interpret these results we develop a theoretical framework in which managers delay layoffs during good economic states to avoid damaging the markets perception of their ability. The model predicts clustering in the timing of layoff announcements, and illustrates a mechanism through which the cyclicality of firms layoff policies is amplified. Our findings suggest that reputation management is an important driver of layoff policies both at daily frequencies and over the business cycle, and can have significant macroeconomic consequences.

Subject: Business cycles, Economic growth, Financial markets, Labor, Labor force, Stock markets, Wages

Keywords: Business cycle, Business cycles, Clustering, Firm level, Labor force, Layoff, Layoff announcement, Layoff propensity, Private firm, Public firm, Reputation management, Stock markets, Wages, WP

Publication Details

  • Pages:

    77

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2016/255

  • Stock No:

    WPIEA2016255

  • ISBN:

    9781475563924

  • ISSN:

    1018-5941