information Article Multinomial Logistic Regression to Estimate and Predict the Job Opportunities for People with Disabilities in Chile Nelson Lay-Raby 1,*, Hanns de la Fuente-Mella 2 and Omar Lameles-Corvalán 1 1 Facultad de Educación y Ciencias Sociales, Universidad Andres Bello, Viña del Mar 2531015, Chile;
[email protected] 2 Escuela de Comercio, Facultad de Ciencias Económicas y Administrativas, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340025, Chile;
[email protected] * Correspondence:
[email protected] 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. Keywords: labor inclusion; disability; employment; econometric modeling Citation: Lay-Raby, N.; de la Fuente-Mella, H.; Lameles-Corvalán, O. Multinomial Logistic Regression to Estimate and Predict the Job 1. Introduction Opportunities for People with Disability is simultaneously part of the human condition and vaguely recognized in Disabilities in Chile. Information 2021, world history [1].