Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017

Authors

  • Marta C. N. Simões University of Coimbra, Faculty of Economics; Centre for Business and Economics Research, Coimbra, Portugal
  • M. Adelaide P. S. Duarte University of Coimbra, Faculty of Economics; Centre for Business and Economics Research, Coimbra, Portugal
  • João A. S. Andrade University of Coimbra, Faculty of Economics; Centre for Business and Economics Research, Coimbra, Portugal

DOI:

https://doi.org/10.2298/PAN2003333S

Keywords:

Earnings inequality, Measures of inequality, Polarisation, ADL models

Abstract

This paper examines employees’ earnings inequality in Portugal for 1986-2017 using data from the Personnel Records database. Our objective is twofold: (a) characterize earnings inequality by comparing representative distributions, before and after the great crisis; and (b) investigate the role played by the business cycle on the behaviour of earnings inequality by estimating Autoregressive Distributed Lag (ADL) models. To identify trends and variations along the trend in earnings inequality we use cardinal measures and the coefficient of variation. We inspect the characteristics of earnings distributions in terms of moments (mean and median) and polarization (using relative distributions analysis). The main findings are: 1) earnings inequality shows a positive trend (except during the great crisis); 2) polarization is present in every year, with lower polarisation prevailing over upper polarization, both evolving at different paces (very fast 1989-2002; slower pace 2002-08; negative growth 2008-17); 3) the business cycle relationship with earnings inequality is negative.
Key words: Earnings inequality, Measures of inequality, Polarisation, ADL models.
JEL: D33, I39, J20, O12.

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Published

2020-06-23

How to Cite

Simões, M. C. N., Duarte, M. A. P. S., & Andrade, J. A. S. (2020). Recent trends in Employees’ Earnings Inequality in Portugal. A quantitative analysis between 1986 and 2017. Panoeconomicus, 67(3), 333–360. https://doi.org/10.2298/PAN2003333S