Multinomial logistic regression to estimate and predict the job opportunities for people with disabilities in chile

Nelson Lay-Raby, Hanns de la Fuente-Mella, Omar Lameles-Corvalán

Research output: Contribution to journalArticlepeer-review

Abstract

In Chile there is a growing interest from society in improving the access of people with disabilities to the labor market. However, applied research on this topic is not abundant. The purpose of this research is to estimate the job opportunities of people with disabilities in Chile. For this, the data from the second Chilean national disability study were used to make a Multinomial Logistic Regression Model that would help to predict the probability of certain variables that influence job opportunity. For the generated model, variables related to the additional income of people (subsi-dies or extra income), educational level attained, pursuit of studies, and the degree of disability itself were found. It was determined how some variables affect the employment opportunity, particu-larly, variables related to continuity and access to studies.

Original languageEnglish
Article number356
JournalInformation (Switzerland)
Volume12
Issue number9
DOIs
Publication statusPublished - Sep 2021

Keywords

  • Disability
  • Econometric modeling
  • Employment
  • Labor inclusion

ASJC Scopus subject areas

  • Information Systems

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