The analysis of chances of young and middle-aged people for having a job using Bayesian logistic regression model Cover Image

The analysis of chances of young and middle-aged people for having a job using Bayesian logistic regression model
The analysis of chances of young and middle-aged people for having a job using Bayesian logistic regression model

Author(s): Wioletta Grzenda
Subject(s): Labor relations
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: employment; logistic regression; Bayesian inference; MCMC;

Summary/Abstract: The aim of this article is to analyze the chances of having a job using Bayesian logistic regression model. In this study both young and middle-aged people have been considered. The individual characteristics of economically active people have a significant impact on their labor market status. In this research the commonly studied set of features has been extended by adding the following characteristics: marital status, financial situation of the household, health assessment and the fact of living with parents in the case of young people. In this study, Bayesian logistic regression model has been used. The Bayesian approach enabled us to incorporate information from previous studies.

  • Issue Year: XVIII/2017
  • Issue No: 1
  • Page Range: 27-37
  • Page Count: 11
  • Language: English