Looking at the adjusted gender pay gap. Searching for direct discrimination in Spain

  1. Simó-Noguera, Carles X. 1
  2. Mondragón-García, Elvira 1
  3. Carbonell-Asins, Juan A. 1
  4. Romero-Crespo, Juan A. 1
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

Journal:
Revista internacional de sociología

ISSN: 0034-9712

Year of publication: 2023

Volume: 81

Issue: 3

Type: Article

DOI: 10.3989/RIS.2023.81.3.22.00490 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista internacional de sociología

Abstract

We investigate the hidden gender gap, the unexplained wage inequality that could be related to direct discrimination. A General Linear Model combining the variables of the 2018 Spanish Structure of Earnings Survey is estimated to construct typologies with maximum pay gap. We build a matrix with all combinations of explanatory variables including sex (>3 million rows). We predict salary with the model and calculate the wage gap between rows whose only difference is sex. We order rows selecting those with the maximum pay gap (≥ 99th percentile) to identify typologies. Therefore, we are able to adjust the calculation of the hidden gap (13.1%) and identify the type of occupation where it mostly occurs (permanent jobs, in companies of 1 to 49 workers in the industrial sector of the Northwest of Spain). Additionally, we highlight the characteristics of women who suffer most from it (women ≥ 50 years with medium and high education).

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