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Women’s Labor Market Participation in Bangladesh: A Logistic Regression Analysis

Md. Rashedus Salekin Sabbir ()

Journal of Social Economics Research, 2022, vol. 9, issue 1, 1-9

Abstract: As women around the world struggle for equality, there is a need for measuring their progress. The problem regarding women’s employment is more acute in Bangladesh. The conservative nature of Bangladesh’s society is a significant obstacle in the achievement of their goals in life. The aim of this study is to explore the factors that affect the empowerment of women and determine the factors significantly associated with women’s labor participation in Bangladesh. The study represents the current condition of women participating in the labor market in Bangladesh. A total of 375 structured questionnaires were distributed and 188 usable questionnaires were returned. SPSS version 20.0 was used and the analysis was carried out using binary logistic regression and bivariate analysis. Logistic regression was used to determine the risk factors for women’s labor participation. The findings revealed that women’s labor market participation is influenced by age, education and their partners’ education, as education is also an important factor that changes human behavior significantly. This study has also proven that women with higher levels of education have more employment opportunities.

Keywords: Bivariate analysis; Female participation in labor market; Logit model; Chi-square test. (search for similar items in EconPapers)
Date: 2022
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