Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance

abstract: I study how the density of executive labor markets affects managerial incentives and thereby firm performance. I find that U.S. executive markets are locally segmented rather than nationally integrated, and that the density of a local market provides executives with non-compensation incent...

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Other Authors: Zhao, Hong (Author)
Format: Doctoral Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.44175
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spelling ndltd-asu.edu-item-441752018-06-22T03:08:26Z Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance abstract: I study how the density of executive labor markets affects managerial incentives and thereby firm performance. I find that U.S. executive markets are locally segmented rather than nationally integrated, and that the density of a local market provides executives with non-compensation incentives. Empirical results show that in denser labor markets, executives face stronger performance-based dismissal threats as well as better outside opportunities. These incentives result in higher firm performance in denser markets, especially when executives have longer career horizons. Using state-level variation in the enforceability of covenants not to compete, I find that the positive effects of market density on incentive alignment and firm performance are stronger in markets where executives are freer to move. This evidence further supports the argument that local labor market density works as an external incentive alignment mechanism. Dissertation/Thesis Zhao, Hong (Author) Hertzel, Michael (Advisor) Babenko, Ilona (Committee member) Coles, Jeffrey (Committee member) Stein, Luke (Committee member) Arizona State University (Publisher) Finance eng 71 pages Doctoral Dissertation Business Administration 2017 Doctoral Dissertation http://hdl.handle.net/2286/R.I.44175 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2017
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Finance
spellingShingle Finance
Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance
description abstract: I study how the density of executive labor markets affects managerial incentives and thereby firm performance. I find that U.S. executive markets are locally segmented rather than nationally integrated, and that the density of a local market provides executives with non-compensation incentives. Empirical results show that in denser labor markets, executives face stronger performance-based dismissal threats as well as better outside opportunities. These incentives result in higher firm performance in denser markets, especially when executives have longer career horizons. Using state-level variation in the enforceability of covenants not to compete, I find that the positive effects of market density on incentive alignment and firm performance are stronger in markets where executives are freer to move. This evidence further supports the argument that local labor market density works as an external incentive alignment mechanism. === Dissertation/Thesis === Doctoral Dissertation Business Administration 2017
author2 Zhao, Hong (Author)
author_facet Zhao, Hong (Author)
title Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance
title_short Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance
title_full Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance
title_fullStr Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance
title_full_unstemmed Executive Labor Market Segmentation: How Local Market Density Affects Incentives and Performance
title_sort executive labor market segmentation: how local market density affects incentives and performance
publishDate 2017
url http://hdl.handle.net/2286/R.I.44175
_version_ 1718701458285658112