Two Sided-Learning with Applications to Labour Turnover and Worker Displacement
AbstractWemake several extensions to the recent literature on job loss whilemodernizing the very early job-displacement literature. After constructing a dynamicmodel of two-sided learning between a firm and its workers, we estimate it using personnel data from Fokker Aircraft that cover the path of layoffs and quits through its bankruptcy in March 1996. We find that the firm learns about workers’ loyalty (demonstrating the role of information in repeated cooperative principal-agent relationships), while workers do not learn (consistent with earlier empirical results on American workers). The type of data that we use also generates information on the value of learning and on whether and how the characteristics of workers who remain until the firm’s death differ from those of all affected workers. It thus allows us to measure the increases in the firm’s value from learning about its workers’ behavior and to infer the extent of biases in estimating losses from displacement from samples restricted to displaced workers.
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Bibliographic InfoArticle provided by Justus-Liebig University Giessen, Department of Statistics and Economics in its journal Journal of Economics and Statistics.
Volume (Year): 228 (2008)
Issue (Month): 5+6 (December)
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More information through EDIRC
Learning; job loss; quits; layoffs;
Find related papers by JEL classification:
- J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
- J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
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