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A Bayesian look at American academic wages: From wage dispersion to wage compression

Majda Benzidia () and Michel Lubrano
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Majda Benzidia: Aix-Marseille University, CNRS, EHESS, Centrale Marseille, AMSE

The Journal of Economic Inequality, 2020, vol. 18, issue 2, No 4, 213-238

Abstract: Abstract OECD countries have experienced a large increase in top wage inequality. Atkinson (2008) attributes this phenomena to the superstar theory leading to a Pareto tail in the wage distribution with a low Pareto coefficient. Do we observe a similar phenomena for academic wages? We examine wage formation in a public US university using for each academic rank a hybrid mixture formed by a lognormal distribution for regular wages and a Pareto distribution for top wages, using a Bayesian approach. The presence of superstars wages would imply a higher dispersion in the Pareto tail than in the lognormal body. We concluded that academic wages are formed in a different way than other top wages. There is an effort to propose competitive wages to some young Assistant Professors. But when climbing up the wage ladder, we found a phenomenon of wage compression which is just the contrary of a superstar phenomenon.

Keywords: Superstar wages; Academic market; Bayesian inference; Hybrid mixtures; Tournaments theory; Wage formation; Wage compression (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10888-019-09431-9

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