IMF Working Papers

Employment Time and the Cyclicality of Earnings Growth

By Eran B. Hoffmann, Davide Malacrino

May 16, 2018

Download PDF

Preview Citation

Format: Chicago

Eran B. Hoffmann, and Davide Malacrino. Employment Time and the Cyclicality of Earnings Growth, (USA: International Monetary Fund, 2018) accessed December 3, 2024

Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary

We study how the distribution of earnings growth evolves over the business cycle in Italy. We distinguish between two sources of annual earnings growth: changes in employment time (number of weeks of employment within a year) and changes in weekly earnings. Changes in employment time generate the tails of the earnings growth distribution, and account for the increased dispersion and negative skewness in the distribution of earnings growth in recessions. In contrast, the cross-sectional distribution of weekly earnings growth is symmetric and stable over the cycle. Thus, models that rely on cyclical idiosyncratic risk, should separately account for the employment margin in their earnings process to avoid erroneous conclusions. We propose such a process, based on the combination of simple employment and wage processes with few parameters, and show that it captures the procyclical skewness in changes in earnings growth and other important features of its distribution.

Subject: Employment, Labor, Labor markets, Unemployment, Wages

Keywords: Earnings growth, Earnings process, Economic cycles, Employment, Employment time, Global, Growth distribution, Labor markets, Unemployment, Wages, Weekly earnings, WP

Publication Details

  • Pages:

    67

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2018/115

  • Stock No:

    WPIEA2018115

  • ISBN:

    9781484353561

  • ISSN:

    1018-5941