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The Gender Labor Market Gap in the Digital Economy

Author

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  • Bustelo, Monserrat
  • Flabbi, Luca
  • Viollaz, Mariana

Abstract

Recent years have seen an ever-greater expansion of the digital economy, a development that may bring new opportunities to workers who were at a disadvantage in the traditional economy. We focus on a specific set of workers who belong to such a group: women. We study a skill set of particular relevance in the digital economy and estimate their returns in the labor market, according to gender, across four Latin American countries. We find that information and communication technologies (ICT) skills and science, technology, engineering, and mathematics (STEM) skills yield significant positive returns for both men and women. However, there is a significant gender gap that favors men on the STEM returns. There is also a sizable gender gap regarding the amount of skills accumulated by gender. Through an Oaxaca-Blinder decomposition, we estimate that up to 80% of the gender gap in hourly wages may be due to the lower returns that women receive, relative to men, on their STEM skills. If an investment in skills relevant to the digital economy may be beneficial for the labor market performance of both men and women, why returns to STEM exhibit such strong gender asymmetries remains an open and relevant question.

Suggested Citation

  • Bustelo, Monserrat & Flabbi, Luca & Viollaz, Mariana, 2019. "The Gender Labor Market Gap in the Digital Economy," IDB Publications (Working Papers) 9886, Inter-American Development Bank.
  • Handle: RePEc:idb:brikps:9886
    DOI: http://dx.doi.org/10.18235/0001941
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    Cited by:

    1. Eusebio Lasa Altuna & Aratz Soto Gorrotxategi, 2021. "Innovación Social Transformadora frente al capitalismo neoliberal," Revista de Economía Crítica, Asociación de Economía Crítica, vol. 31, pages 19-34.
    2. Egana-delSol, Pablo & Bustelo, Monserrat & Ripani, Laura & Soler, Nicolas & Viollaz, Mariana, 2022. "Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    More about this item

    Keywords

    Digital economy; STEM; Gender wage gap; Return to skills;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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