CREAT: Census Research Exploration and Analysis Tool

Acquiring Labor

October 2011

Working Paper Number:

CES-11-32

Abstract

We present evidence that some firms pursue M&A activity with the objective of obtaining a larger workforce. Firms most likely to be acquired for their large labor force, firms with the largest ex ante employment, are associated with more positive post-merger employment outcomes. Moreover, we find this relation is strongest when acquiring labor outside of an M&A is likely to be most difficult, due to tight labor conditions, or most valuable, in high human capital industries. We further find that high employment target firms are associated with relatively greater post-merger wage increases and lower post-merger employee turnover. We find no evidence that the positive relation between target ex ante employment and ex post employment change is driven by target asset size, market capitalization, industry, profitability or acquirer characteristics. Our findings do not exclude the possibility that a different subset of M&A activity may be motivated to penalize managers who have tolerated over-employment. Indeed, we find evidence consistent with this disciplinary motivation when considering acquisitions of targets in declining industries.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
endogeneity, employ, manager, restructuring, merger, takeover, acquisition, turnover, consolidated, acquired, acquirer, mergers acquisitions, layoff, prospect

Tags Tags are automatically generated using a pretrained language model from spaCy, which excels at several tasks, including entity tagging.

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:
Standard Industrial Classification, Current Population Survey, Longitudinal Business Database, Center for Research in Security Prices, Chicago Census Research Data Center, Securities Data Company, Longitudinal Employer Household Dynamics, Alfred P Sloan Foundation

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