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All Journal Jurnal Saintika Medika Benefit: Jurnal Manajemen dan Bisnis
Agus Suseno, Agus
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Journal : Benefit: Jurnal Manajemen dan Bisnis

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FEMALE LABOR WORKING INTENSITY: A STUDY CASE IN A CONSTRUCTION JOB Suseno, Agus; Hakim, Abdul
Benefit Volume 18 No 2 Desember 2014
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

This paper analyzes demographic and socio-economic characteristics of female labor in Bantul District. The characteristics are measured by their education, ages, marital status, number of children, house location, distance from workplace, and salary. The contribution of female labor to their families are analyzed by arithmetic mean. To model the behaviour of female labor work intensity, this paper uses salary, number of children, distance to work location, husband income, and dummy variables on free rice program, health insurance program, and house location. Using a multiple regression model, it finds that variables significantly increase work intensity are salary and husband’s income, while those significantly decreases work intensity are number of children, distance to workplace, and rice free program. 
FEMALE LABOR WORKING INTENSITY: A STUDY CASE IN A CONSTRUCTION JOB Suseno, Agus; Hakim, Abdul
Benefit: Jurnal Manajemen dan Bisnis Benefit : Kumpulan Makalah Diskusi Dosen FE UMS Volume 18 No 2 Desember 2014
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/benefit.v18i2.1397

Abstract

This paper analyzes demographic and socio-economic characteristics of female labor in Bantul District. The characteristics are measured by their education, ages, marital status, number of children, house location, distance from workplace, and salary. The contribution of female labor to their families are analyzed by arithmetic mean. To model the behaviour of female labor work intensity, this paper uses salary, number of children, distance to work location, husband income, and dummy variables on free rice program, health insurance program, and house location. Using a multiple regression model, it finds that variables significantly increase work intensity are salary and husband’s income, while those significantly decreases work intensity are number of children, distance to workplace, and rice free program. 
Co-Authors Luky Adrianto