Too good to fire: Non-assortative matching to play a dynamic game
成果类型:
Article
署名作者:
Sperisen, Benjamin; Wiseman, Thomas
署名单位:
Amazon.com; University of Texas System; University of Texas Austin
刊物名称:
GAMES AND ECONOMIC BEHAVIOR
ISSN/ISSBN:
0899-8256
DOI:
10.1016/j.geb.2020.09.011
发表日期:
2020
页码:
491-511
关键词:
Matching
dynamic games
摘要:
We model stable, non-assortative labor-market matchings. We endogenize how transferable utility is: a matched firm and worker play an infinite-horizon game with one-sided moral hazard. Becker's (1973) result that complementarity yields positively assortative matching fails, because increasing match quality harms dynamic incentives: a firm cannot credibly threaten to fire a worker who is productive even with low effort. Thus, firms may prefer lower-type workers who will exert more effort. We offer a new interpretation of efficiency wages: committing to a high wage improves effort incentives indirectly by increasing the firm's willingness to walk away. We also show that the set of stable outcomes has a lattice structure. (c) 2020 Elsevier Inc. All rights reserved.