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Determinants Of Female Labor Force Participation In Tangail District In Bangladesh: A Logistic Regression Analysis

Author

Listed:
  • Subrata SAHA

    (Mawlana Bhasani Science and Technology University, Tangail, Bangladesh)

  • Arifa SULTANA

    (Mawlana Bhasani Science and Technology University, Tangail, Bangladesh)

  • Sanjoy Kumar SAHA

    (Mawlana Bhasani Science and Technology University, Tangail, Bangladesh)

Abstract

This study is conducted to find the determinants of female labor force participation in Tangail, Bangladesh. The study examines the relationship of female labor force participation in this district with different factors like family type, education, training facilities and credit facilities. We purposively collect data from 300 females in Tangail district using the schedule method and use logistic regression. Later Hosmer and Lemeshow test, cooks distance test, and VIF test are used to diagnose whether the results are valid or not. Analysis shows that: (1) females from nuclear families are thirteen times more likely than those from joint families to be engaged in economic activities; (2) agriculture and service-oriented household’s women are less interested in joining the labor force than those from other income sources; (3) participation of women aged 55 to above is less in the labor force than those of others; (4) higher education, training facilities, and microcredit all have a positive impact on women's labor force participation because educated women participate much more than uneducated women; (5) females who receive training facilities are 32 times more likely , and women who receive microcredit are three times more likely to enter the labor force than their counterparts.

Suggested Citation

  • Subrata SAHA & Arifa SULTANA & Sanjoy Kumar SAHA, 2022. "Determinants Of Female Labor Force Participation In Tangail District In Bangladesh: A Logistic Regression Analysis," CrossCultural Management Journal, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 1, pages 45-57, July.
  • Handle: RePEc:cmj:journl:y:2022:i:1:p:45-57
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Female labor force; Economic activities; Unemployment; Education; Logistic regression;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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