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Labor income gap in Ecuador due to discrimination, pre and post pandemic: Correction of error due to selection bias

Author

Listed:
  • Marcelo Varela Enríquez

    (Doctor (PHD) in Social Sciences specialized in Applied Economics, University of Salamanca. Dean of the School of Public Economics and Strategic Sectors at the Institute of Higher National Studies, and Principal Professor at the Central University of Ecuador, Ecuador)

  • Gustavo Salazar Espinoza

    (Economist, Central University of Ecuador, development economics master, economic research consultant, Equador)

Abstract

The objective of this research is to analyze the labor gap in Ecuador, correcting the session period by sample selection to show if the differences in labor income are due to observable or discriminatory situations, and if they changed after the pandemic. To achieve this objective, the annual employment databases for the years 2018, 2019 and 202 were analyzed, and a model described by Jones (2007) and Adkins and Hill (2011) was initiated, who conclude in the application of the model of Heckman and the failure of the Oaxaca-Blinder method was estimated to correct errors and show possible discrimination in labor income. The results obtained show that it is more difficult for women, young people and ethnic minorities to find work, and when they are in employment their income is lower, even the labor gap between men and women increases after the pandemic. Income gaps are explained by discriminatory factors and observable factors in the case of women and ethnic minorities; while for young people it is due to observable factors.

Suggested Citation

  • Marcelo Varela Enríquez & Gustavo Salazar Espinoza, "undated". "Labor income gap in Ecuador due to discrimination, pre and post pandemic: Correction of error due to selection bias," Review of Socio - Economic Perspectives 202302, Reviewsep.
  • Handle: RePEc:aly:journl:202302
    DOI: https://doi.org/10.19275/RSEP145
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    labor income; labor gap; discriminatory factors; pandemic; youth; ethnic minorities.;
    All these keywords.

    JEL classification:

    • A19 - General Economics and Teaching - - General Economics - - - Other
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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