TY - JOUR
T1 - Multinomial logistic regression to estimate and predict the job opportunities for people with disabilities in chile
AU - Lay-Raby, Nelson
AU - de la Fuente-Mella, Hanns
AU - Lameles-Corvalán, Omar
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
KW - Disability
KW - Econometric modeling
KW - Employment
KW - Labor inclusion
UR - http://www.scopus.com/inward/record.url?scp=85114514805&partnerID=8YFLogxK
U2 - 10.3390/info12090356
DO - 10.3390/info12090356
M3 - Article
AN - SCOPUS:85114514805
SN - 2078-2489
VL - 12
JO - Information (Switzerland)
JF - Information (Switzerland)
IS - 9
M1 - 356
ER -