A Conditional Logistic Regression Model for Analyzing Unemployment Rates in West Java

Model Regresi Logistik Bersyarat untuk Analisis Tingkat Pengangguran di Provinsi Jawa Barat

Authors

  • Dwi Jayanti Badan Pusat Statistik, Indonesia
  • Septian P Palupi Department of Statistics, IPB University, Indonesia
  • Khairil Anwar Notodiputro Department of Statistics, IPB University, Indonesia

DOI:

https://doi.org/10.29244/ijsa.v5i1p195-204

Abstract

Unemployment is a critical problem faced by developing countries.  It is a complex problem which creates other social and economic problems such as poverty, economic gaps, and crimes. This paper discusses the determinant factors of unemployment rates based on empirical data using the conditional logistic regression model.  The model was used to analyze matched pair data using gender, age and residence as matching factors.  The result showed that household status, marriage status, as well as levels of education were the determinant factors of a person being unemployed in West Java.  It is also shown that the conditional logistic regression outperformed the standard logistic regression for analyzing the cause of unemployment.

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Published

2021-03-31

How to Cite

Jayanti, D., Palupi, S. P., & Notodiputro, K. A. (2021). A Conditional Logistic Regression Model for Analyzing Unemployment Rates in West Java: Model Regresi Logistik Bersyarat untuk Analisis Tingkat Pengangguran di Provinsi Jawa Barat. Indonesian Journal of Statistics and Its Applications, 5(1), 195–204. https://doi.org/10.29244/ijsa.v5i1p195-204

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