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Volumn , Issue , 2007, Pages 93-105

Estimating female labor force participation through statistical and machine learning methods: A comparison

Author keywords

Female Labor Force Participation; Hamming Clustering; Logit; Probit; Support Vector Machines

Indexed keywords


EID: 84887178867     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-72821-4_5     Document Type: Chapter
Times cited : (3)

References (22)
  • 3
    • 0000157686 scopus 로고
    • A theory of the allocation of time
    • Becker G (1965) A theory of the allocation of time. The Economic Journal 75(299): 493-517
    • (1965) The Economic Journal , vol.75 , Issue.299 , pp. 493-517
    • Becker, G.1
  • 9
    • 0001523808 scopus 로고    scopus 로고
    • From mill town to board room: The rise of women's paid labor
    • Costa D (2000) From mill town to board room: the rise of women's paid labor. The Journal of Economic Perspectives 14(4): 101-122
    • (2000) The Journal of Economic Perspectives , vol.14 , Issue.4 , pp. 101-122
    • Costa, D.1
  • 20
    • 0032757088 scopus 로고    scopus 로고
    • Industrialization, female labor force participation and modern division of labor by sex
    • Rau W, Waziensky R (1999) Industrialization, female labor force participation and modern division of labor by sex. Industrial Relations 38(4): 504-521
    • (1999) Industrial Relations , vol.38 , Issue.4 , pp. 504-521
    • Rau, W.1    Waziensky, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.