Static Model of Labour Force Participation: Survey of Married Women in Zimbabwe

Abstract

The study sought to ascertain and measure the determinants of labour force participation of married women in Zimbabwe. The focus was on the activeness of married women in paid, permanent work. The study utilized and collected data from a sample of 514 married women from varying socio-economic backgrounds. A binomial logit model was implemented as the regression model to test the probability of labour market participation by the target group. The results showed that age, education attainment, work experience, geographical location, religious denomination and the amount of non-labour income earned were significant determinants of the decision to work by married women. It was noted conclusively that none of the factors above influenced LFP strongly enough to warrant the low levels of formally and permanently employed married women. It was suggested that economy-wide policies to improve general employment levels be implemented.

The Impact of Sexual Violence on Women’s Earnings: The Case of Mashonaland West Province, Zimbabwe

“…Despite the possible negative impact of sexual violence on women's earnings, there is a dearth of scholarly literature on the impact of sexual violence on women's earnings in Zimbabwe and particularly in Mashonaland West province. Although Benefo and Pillai (2003), Chikwanha and Ncube (2014), and Mapuranga et al (2015) undertook studies on factors that affect FLFP and sexual harassment of female employees in Zimbabwe, it should be argued that they are limited in scope as they did not examine the relationship between sexual violence and women's earnings. The study will contribute to the literature by investigating the impact of sexual violence on women's earnings.…”

“…Location is the area of women's residence that plays a critical role in determining the labour market outcomes. Females that live in urban areas tend to participate more in the labour market than their counterparts living in rural areas because of better access to education, more work choices, and even more enhanced working environment (Hosney, 2016;Chaudhry et al, 2010;Chikwanha and Ncube, 2014;Kanjilal-bhaduri and Pastore, 2017). In the same vein, women living in urban areas are expected to earn higher than their rural counterparts due to higher education and economic opportunities (Chaudhry et al, 2010;Hosney, 2016).…”