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Group Learning, Wage Dispersion and Non‐stationary Offers

Bibliographic Data

ID9726016
AuthorsJulio J Rotemberg (Harvard Business School, corresponding author)
Year2017
Volume84
Issue335
Pages365-392
Publication date2017-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomica (JOURNAL)
Journal identifiersISSN: 0013-0427 • E-ISSN: 1468-0335
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ecca.12225
OpenAlexW2571725424
LanguageEN
References cited37

Can differences in equilibrium beliefs among otherwise identical individuals account for a substantial degree of wage inequality? This paper shows that this is possible if two conditions are met. First, people learn about the distribution of wage offers from the experience of their peers, and second, people believe that wage offers are stationary even though offers that arrive later tend to have higher wages than offers that arrive earlier. Peer groups can then end up with different stable beliefs that lead to intergroup wage differences. The non‐stationarity of offers is rationalized in a model where firms can either advertise their job openings or not, and where advertised ones have more influence on more inexperienced job searchers. A statistic is proposed whose application to existing studies suggests that the non‐stationarity considered here is present in data

Demographic economics · Dispersion (optics) · Distribution (mathematics) · Econometrics · Economics · Efficiency wage · Group (periodic table) · Inequality · Labour economics · Microeconomics · Statistic · Statistics · Wage · Wage dispersion · Wage Inequality · Consumer Market Behavior and Pricing · Economic theories and models · Game Theory and Applications · Mathematics

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