Multinomial Logistic Regression to Estimate and Predict the Job Opportunities for People with Disabilities in Chile

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 (subsidies 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, particularly, variables related to continuity and access to studies.

Legislation on Disability and Employment: To What Extent Are Employment Rights Guaranteed for Persons with Disabilities?

“…However, this progress in the legislation has not been reflected in the opportunities open to persons with disabilities. According to Lay-Raby et al (2021), there are several factors affecting the participation of persons with disabilities in employment, including age, other sources of income, marital status, and education level [32].…”