Search results

We develop a model that characterizes all possible allocations of children's time between work and school, analyzing the relationship between market work, household chores, and Brazilian children's school enrollment. If pure market work is analyzed, we find that girls are less likely to work and more likely to exclusively attend relative to boys with similar characteristics. If the definition of work includes household chores, girls are less likely to be exclusively in school and more likely to work compared to boys. The results reveal that girls disproportionately carry out domestic responsibilities, which could hinder their school achievements. Furthermore, family structures with fewer preschool-aged siblings and with more adults present alleviate the pressure to displace girls’ time away from school and toward domestic activities.

The aim of the paper is to understand whether children in home‐worker (HW) households in Pakistan and Indonesia are more likely to work than other children, and, if so, how this impacts their capabilities. The paper also aims to outline some policy implications for the two countries.

The data are drawn from two ad hoc surveys and country studies carried out in Pakistan and Indonesia in 2000/2001. The paper examines the incidence and reasons of child work and child schooling in home‐worker households, the work conditions, and gender issues. A bivariate probit is applied to analyse the determinants of child activity status.

Children from HW households have a higher probability of working. There is evidence of the feminisation of home work from childhood. This is dramatic in Pakistan while little evidence is found for Indonesia. In Pakistani urban slums the majority of children are working, but in Indonesia they are in school. The mother's education and per capita income/expenditure or assets in the household are important determinants of the child's activity status.

The model cannot use the control group for econometric analysis since the number of households and children interviewed (although randomly chosen) are not sufficient.

Collective action plays a role in the reduction of children “only working”. The number of hours that children work in Pakistan suggests that their ability to do school‐related activities is likely to be impacted.

Although child labour is common in home‐based manufacturing activities in the informal sector in most Asian developing countries research on child labour remains scarce. This paper contributes to this area of research.

This paper explores the rural labor market impact of migration in China using cross-sectional data on rural households for the year 2007. A switching probit model is used to estimate the impact of belonging to a migrant-sending household on the individual occupational choice categorized in four binary decisions: farm work, wage work, self-employment, and housework. The paper then goes on to estimate how the impact of migration differs across different types of migrant households identified along two additional lines: remittances and migration history. Results show that individual occupational choice in rural China is responsive to migration, at both the individual and the family levels, but the impacts differ: individual migration experience favors subsequent local off-farm work, whereas at the family level, migration drives the left-behinds to farming rather than to off-farm activities. Our results also point to the interplay of various channels through which migration influences rural employment patterns.

This paper describes trends in average weekly hours of market work per person and per family in the United States between 1950 and 2005. We disaggregate married couple households by skill level to determine if there is a pattern in the hours of work by wives and husbands conditional on either husband's wages or husband's educational attainment. The wage measure of skill allows us to compare our findings to those of Juhn and Murphy (1997), who report on trends in family labor using a different data set. The educational measure of skill allows us to construct a longer time series. We find several interesting patterns. The married women with the largest increase in market hours are those with high-skilled husbands. When we compare households with different skill mixes, we also find dramatic differences in the time paths, with higher skill households having the largest increase in average hours over time.

The purpose of this study is to examine the association between employment status and financial resilience during the COVID-19 pandemic.

This study employed US nationally representative data. A financial resilience index was created based on households' ability to pay for basic living expenses and the resources used to meet such needs. Employment status was categorized into seven groups based on whether the respondent worked for pay in the last seven days, experience of income shock since the start of the pandemic for workers' household and reasons for not working for non-workers' household. A generalized linear model (GLM) model was used to examine the relationship between respondent employment status and household financial resilience. An ordinary least square (OLS) logistic regression with no proportional odds assumption was employed to investigate the association between the respondent's employment status and household ability to pay for basic living expenses. A logistic regression was utilized to explore the relationship between respondent employment status and resources used by the household to pay for basic living expenses.

The top three least financially resilient households include those in which the respondent's work was affected by the pandemic, the respondent did not work due to being sick with COVID or caring for someone with COVID and the respondent did not work due to fear of COVID.

Future research should distinguish the reasons for not working when examining the association between unemployment and household financial resilience as well as their overall financial wellbeing. Cross-sectional data cannot establish a causal relationship. Findings using US data may not be generalized to other countries.

Workers with health and employment risks and financial professionals working with these clients should consider these risks when building household financial safety net. Policymakers should develop measures to allow normal business operations while effectively contain the spread of the COVID-19 virus.

This study created a financial resilience index that considers various household situations, allows both internal and external resources to be utilized to cover basic living expenses and reflects the diverse nature of financial resilience. This study is the first to look into voluntary and involuntary labor force separation for COVID-19 and non-COVID-19 related reasons.

The purpose of this paper is to explore the extent and the effect of socio‐economic and demographic factors that lead to the phenomenon of child labor in the fishing sector of Balochistan (province of Pakistan).

In order to explore the objectives, the paper first develops simple hypothesis followed by descriptive and regression analysis.

The findings of the paper show that in the coastal areas about 30 percent of the children are involved in fishing. It is observed that the main cause of child labor is not poverty it comes out to be low quality of education, lack of job opportunity, and lack of development.

The data used for the assessment cover wide‐spread coastal areas but still have some limitation for several reasons. First, it is rapid assessment done to gain the first hand knowledge about the extent of child labor and their socio‐economic culture they belong too. Second, the official data do not include information on education and employment facilities in these towns. Thus, severity may not be truly reflected.

Education with training needed to improve fishing skill may help in this regard. The state of education also needs improvement as high illiteracy and dropout rates reflect inadequacy.

Extent of child labor in these towns is not reported by any official statistics. This paper attempts to provide the picture of the severity of the problems and its probable causes.

The purpose of this paper is to examine the factors influencing the food insecurity status of the working poor households in south west Nigeria.

International Labour Organisation poverty line, Household Food Insecurity Access Scale as well as the Ordered Logit model were used to identify the factors influencing the food insecurity status of the working poor households in south west Nigeria.

The study revealed that more than half of the respondents were working poor households, with more than four-fifths of them being food insecure. Income irregularity, savings and level of education had major roles to play in the food insecurity status of working poor households.

Employment has always been considered as a route out of poverty and food insecurity. However, the intensity of poverty among working households should be considered in the design and development of policy and programmes, targeted towards workers. Laws should protect the right of workers against non-payment of salaries, advantages of family planning should be emphasised, social security allowance should be provided to serve as an alternative source of income during emergencies and more investment made in education.

This paper attempts to bridge the knowledge gap in the empirical link between employment, poverty and food insecurity. Particularly, its application to the working households.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2019-0589

The purpose of this paper is to highlight the factors that influence the decision of married women (in the age group of 16‐60 years) to participate in labor force activities.

This is an empirical study employing the non‐linear maximum likelihood probability (probit) function on primary data (3,911 observations).

Besides other variables it has been observed that poverty remains an important determinant of female labor participation.

On the basis of this paper, a socio‐economic policy can be formulated for a developing country like Pakistan.

A development policy (especially considering the gender aspects) can be formulated on the basis of this research for the enhancement of human resource development for a developing and an orthodox economy like Pakistan.

This paper is beneficial to researchers, policy makers, and social scientists for the enhancement of the level of social welfare and equity through its findings.

Few of the world’s social ills arouse such unified opposition as child labor. When we learn that children are sewing soccer balls instead of studying, we are appalled. We shudder when we learn that children are sold into indentured servitude to knot rugs for 10-to-14 hour days in poorly lit workshops. International media attention is sparked when sweatshops are exposed that use children to make clothing for The Gap or shoes for Nike. In general, our understanding of this social problem has been clouded by moral outrage and the consequent clandestine nature of child labor. This partly explains the dearth of effective strategies to end child labor. While there is increasing support to end child labor, there is no consensus on how or where to focus our resources. This research provides a window on what child labor means for children and their households so that we may better understand some alternatives to it.