Melola Discovery

← Melola Discovery

Jurnal

Labor Supply Analysis: Case Study of Married Women Workers

Economics Development Analysis Journal · Vol. 13 No. 2 (2024) · hlm. 151–167

DOI
10.15294/edaj.v13i2.78969
ISSN
2252-6560
Terbit
2024-07-08
Penerbit
Economics Development Department, Universitas Negeri Semarang, Indonesia
Bahasa
eng

Abstrak

Women in the labor market contribute to labor as part of the production factors in economic activities. Women's participation in the labor market cannot be separated from their role and status in the family. Personal characteristics, socio-economic conditions, and demographics influence women's decisions to work. The research aim is to analyze the supply of married women workers in Indonesia. The data used is secondary data originating from Sakernas February 2022. The method used is logit regression. The variables used in this research are the supply of married women workers, location, household members, women's age, women's education, employment status, wages, working hours, and training. The research results show that the variables of women's age, education, working hours, and training positively and significantly influence the supply of married women workers. The variables location, number of household members, employment status, and wages negatively and significantly influence the supply of married women workers. In general, the tendency of married women to work is higher among married women who live in rural areas, have few household members, are older, have a higher level of education, formal employment status, low wages, working hours are high, and have training experience.

Jaringan kolaborasi para penulis

32 penulis · 74 tautan kepenulisan bersama · 15 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Jambi
  • Mulawarman University
  • Diponegoro University
  • State University of Semarang
  • Universitas Islam Negeri Ar-Raniry
  • Universitas Ubudiyah Indonesia
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Wisnu SunartoAfiliasi tidak diketahui1
Sri NurhayatiAfiliasi tidak diketahui1
Wulansari PrasetyaningtyasAfiliasi tidak diketahui1
Eka Titi AndaryaniState University of Semarang1
Retno Sri IswariState University of Semarang1
Siti Harnina BintariAfiliasi tidak diketahui1
Nuriana Rachmani Dewi Nino AdhiAfiliasi tidak diketahui1
Azizah Dilla SafitriAfiliasi tidak diketahui1
Nadia Anggit TyaswariAfiliasi tidak diketahui1
Ro'ifah Ro'ifahAfiliasi tidak diketahui1
Sulton Dedi WijayaAfiliasi tidak diketahui1
Rike SetiawatiUniversitas Jambi1
Ruli Amanda PutraUniversitas Jambi1
Asep MachpudinUniversitas Jambi1
Ernita Rismauli Br ManaluAfiliasi tidak diketahui1
Agus SyarifUniversitas Jambi1
Adam Al FatahAfiliasi tidak diketahui1
Moh. IhsanAfiliasi tidak diketahui1
Al Latif Ramadhani SaidAfiliasi tidak diketahui1
Sarini Vita DewiUniversitas Islam Negeri Ar-Raniry1
Aulia Syarif AzizUniversitas Islam Negeri Ar-Raniry1
Zuhuri ZuhuriUniversitas Ubudiyah Indonesia1
Irman IrawanAfiliasi tidak diketahui1
Seftylia DiachantyAfiliasi tidak diketahui1
Ita ZuraidaAfiliasi tidak diketahui1
Adlina ArdhanawinataAfiliasi tidak diketahui1
Seftylia DiachantyMulawarman University1
Irman IrawanMulawarman University1
Ita ZuraidaMulawarman University1
Adlina ArdhanawinataMulawarman University1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/edaj/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Labor Supply Analysis: Case Study of Married Women Workers</dc:title>
	<dc:creator>Khasanah, Uswatun</dc:creator>
	<dc:creator>Firmansyah, Firmansyah</dc:creator>
	<dc:description xml:lang="en-US">Women in the labor market contribute to labor as part of the production factors in economic activities. Women's participation in the labor market cannot be separated from their role and status in the family. Personal characteristics, socio-economic conditions, and demographics influence women's decisions to work. The research aim is to analyze the supply of married women workers in Indonesia. The data used is secondary data originating from Sakernas February 2022. The method used is logit regression. The variables used in this research are the supply of married women workers, location, household members, women's age, women's education, employment status, wages, working hours, and training. The research results show that the variables of women's age, education, working hours, and training positively and significantly influence the supply of married women workers. The variables location, number of household members, employment status, and wages negatively and significantly influence the supply of married women workers. In general, the tendency of married women to work is higher among married women who live in rural areas, have few household members, are older, have a higher level of education, formal employment status, low wages, working hours are high, and have training experience.</dc:description>
	<dc:publisher xml:lang="en-US">Economics Development Department, Universitas Negeri Semarang, Indonesia</dc:publisher>
	<dc:date>2024-07-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/edaj/article/view/78969</dc:identifier>
	<dc:identifier>10.15294/edaj.v13i2.78969</dc:identifier>
	<dc:source xml:lang="en-US">Economics Development Analysis Journal; Vol 13 No 2 (2024): Economics Development Analysis Journal; 151-167</dc:source>
	<dc:source>2252-6560</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edaj/article/view/78969/26926</dc:relation>
</oai_dc:dc>