Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Indonesian Journal of Statistics and Its Applications
Dwi Jayanti
Badan Pusat Statistik, Indonesia
Computer Science & IT Mathematics Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Conditional Logistic Regression Model for Analyzing Unemployment Rates in West Java: Model Regresi Logistik Bersyarat untuk Analisis Tingkat Pengangguran di Provinsi Jawa Barat Dwi Jayanti; Septian P Palupi; Khairil Anwar Notodiputro
Indonesian Journal of Statistics and Applications Vol 5 No 1 (2021)
Publisher : Departemen Statistika, IPB University dengan Forum Perguruan Tinggi Statistika (FORSTAT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 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.
Co-Authors Khairil Anwar Notodiputro Septian P Palupi