NDLI: Dynamic Matching and Evolving Reputations

Content Provider	Semantic Scholar
Author	Anderson, Axel Smith, Lones
Copyright Year	2009
Abstract	This paper introduces a general model of matching that includes evolving public Bayesian reputations and stochastic production. Despite productive complementarity, assortative matching robustly fails for high discount factors, unlike in Becker (1973) . This failure holds around the highest (lowest) reputation agents for "high skill" ("low skill") technologies. We find that matches of likes eventually dissolve. In another life-cycle finding, young workers are paid less than their marginal product, and old workers more. Also, wages rise with tenure but need not reflect marginal products: information rents produce non-monotone and discontinuous wage profiles. Copyright , Wiley-Blackwell.
Starting Page	3
Ending Page	29
Page Count	27
File Format	PDF HTM / HTML
DOI	10.1111/j.1467-937X.2009.00567.x
Alternate Webpage(s)	http://faculty.georgetown.edu/aza/ReputationalMatching.pdf
Alternate Webpage(s)	https://doi.org/10.1111/j.1467-937X.2009.00567.x
Volume Number	77
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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