2015
DOI: 10.2139/ssrn.2614605
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Cyclical Reallocation of Workers Across Employers by Firm Size and Firm Wage

Abstract: Bank of Chile workshop on Wages and Employment Dynamics over the Business Cycle, and seminar participants at Census, Georgetown, NYU, BLS, Wisconsin and Yale, for helpful comments and suggestions. Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the U.S. Census Bureau or the National Bureau of Economic Research. All results have been reviewed to ensure that no confidential information is disclosed. NBER working papers are circulated for discus… Show more

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Cited by 32 publications
(56 citation statements)
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“…Fourthly, one interesting common characteristic in recent studies for the US is the indication that the job-ladder mechanism stopped working after the 2008 Great Recession [7], [9], [10]. This seems to indicate that under conditions of extreme credit crunch, access to finance constraints are more binding on low wage and small firms, leading to a wave of layoffs that reverses the empirical results related to the job-ladder mechanism.…”
Section: Job-ladder Mechanismmentioning
confidence: 95%
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“…Fourthly, one interesting common characteristic in recent studies for the US is the indication that the job-ladder mechanism stopped working after the 2008 Great Recession [7], [9], [10]. This seems to indicate that under conditions of extreme credit crunch, access to finance constraints are more binding on low wage and small firms, leading to a wave of layoffs that reverses the empirical results related to the job-ladder mechanism.…”
Section: Job-ladder Mechanismmentioning
confidence: 95%
“…More recent studies have contributed to this line of research and provided more insights about the issue of firm size and sensitivity to cycles [1], [7], [8], [9], [10]. Importantly, this new wave of studies also provides robust results based on microdata that allow researchers to control for reclassification bias.…”
Section: Job-ladder Mechanismmentioning
confidence: 99%
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