Socioeconomic factors affecting female labor force participation: A Case study of Lahore district

Main Article Content

Zubda Zia Ur Rehman
Areeba Khan
Anum Ali Khan
Farhat Iqbal Awan

Abstract

Labor-force participation analysis is important for developing employment and human resource development policies. Females represent approximately fifty percent of the entire population of Pakistan and play a vital role in the country. This paper aims to quantify the numerous factors affecting female labor force participation in Lahore district. The study is based on cross-sectional data gathered through questionnaires. The technique of logit regression on 450 observations is used to estimate the factors affecting female labor force participation. The empirical results show that educational attainment levels, marital status have a positive and significant effect on female labor force whereas female lives in joint family system and urban region less likely to participate in labor force market. Household head participation in economic activities decrease the female labor force participation. Paper also shows that in Lahore weak women empowerment exist. If female alone decides about her job, her participation in labor market decreases.

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Socioeconomic factors affecting female labor force participation: A Case study of Lahore district. (2024). Journal of Management Info, 10(2), 170-184. https://doi.org/10.31580/jmi.v10i2.2828
Section
Research Article
Author Biographies

Zubda Zia Ur Rehman, Economics Department, Kinnaird College for Women, Lahore, Pakistan

Labor-force participation analysis is important for developing employment and human resource development policies. Females represent approximately fifty percent of the entire population of Pakistan and play a vital role in the country. This paper aims to quantify the numerous factors affecting female labor force participation in Lahore district. The study is based on cross-sectional data gathered through questionnaires. The technique of logit regression on 450 observations is used to estimate the factors affecting female labor force participation. The empirical results show that educational attainment levels, marital status have a positive and significant effect on female labor force whereas female lives in joint family system and urban region less likely to participate in labor force market. Household head participation in economic activities decrease the female labor force participation. Paper also shows that in Lahore weak women empowerment exist. If female alone decides about her job, her participation in labor market decreases.

Areeba Khan, Economics Department, Kinnaird College for Women, Lahore, Pakistan

Labor-force participation analysis is important for developing employment and human resource development policies. Females represent approximately fifty percent of the entire population of Pakistan and play a vital role in the country. This paper aims to quantify the numerous factors affecting female labor force participation in Lahore district. The study is based on cross-sectional data gathered through questionnaires. The technique of logit regression on 450 observations is used to estimate the factors affecting female labor force participation. The empirical results show that educational attainment levels, marital status have a positive and significant effect on female labor force whereas female lives in joint family system and urban region less likely to participate in labor force market. Household head participation in economic activities decrease the female labor force participation. Paper also shows that in Lahore weak women empowerment exist. If female alone decides about her job, her participation in labor market decreases.

Anum Ali Khan, Economics Department, Kinnaird College for Women, Lahore, Pakistan

Labor-force participation analysis is important for developing employment and human resource development policies. Females represent approximately fifty percent of the entire population of Pakistan and play a vital role in the country. This paper aims to quantify the numerous factors affecting female labor force participation in Lahore district. The study is based on cross-sectional data gathered through questionnaires. The technique of logit regression on 450 observations is used to estimate the factors affecting female labor force participation. The empirical results show that educational attainment levels, marital status have a positive and significant effect on female labor force whereas female lives in joint family system and urban region less likely to participate in labor force market. Household head participation in economic activities decrease the female labor force participation. Paper also shows that in Lahore weak women empowerment exist. If female alone decides about her job, her participation in labor market decreases.

Farhat Iqbal Awan, Economics Department, Kinnaird College for Women, Lahore, Pakistan

Labor-force participation analysis is important for developing employment and human resource development policies. Females represent approximately fifty percent of the entire population of Pakistan and play a vital role in the country. This paper aims to quantify the numerous factors affecting female labor force participation in Lahore district. The study is based on cross-sectional data gathered through questionnaires. The technique of logit regression on 450 observations is used to estimate the factors affecting female labor force participation. The empirical results show that educational attainment levels, marital status have a positive and significant effect on female labor force whereas female lives in joint family system and urban region less likely to participate in labor force market. Household head participation in economic activities decrease the female labor force participation. Paper also shows that in Lahore weak women empowerment exist. If female alone decides about her job, her participation in labor market decreases.

How to Cite

Socioeconomic factors affecting female labor force participation: A Case study of Lahore district. (2024). Journal of Management Info, 10(2), 170-184. https://doi.org/10.31580/jmi.v10i2.2828

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