Measuring the effect of gender segregation on the gender gap in time-related underemployment

This paper focuses on the impact that gender segregation in the labour market exerts on the underemployment gender gap for young adult workers in Spain. In order to analyse the relative importance of segregation in this gap, we develop a methodology based on two counterfactual simulations that provides a detailed decomposition of the gap into endowments and coefficients effects as well as the interaction of these effects. To the best of our knowledge, we are the first to perform a decomposition using bivariate probit models with sample selection. Using annual samples of the Spanish Labour Force Survey 2006–2016, the results show that working in female-dominated occupations or industries hinders working as many hours as desired, especially for women. Furthermore, we conclude that the gender gap in underemployment is mainly due to the different distribution of male and female workers across occupations and industries. Additionally, the different impact by gender that working in the same gender-typing jobs exerts on the risk of underemployment contributes to widening the gap.

The impact of the first wave of the COVID-19 pandemic on employment and firm revenues in Hungary

Relying on the Labour Force Survey and the monthly revenue statistics of the Hungarian Central Statistical Office, we assess the immediate economic impact of the first wave of the COVID-19 pandemic in the first two quarters of 2020. We first analyse the role of job loss, working time reduction, downtime, and telework in adjustment to the crisis. The findings reveal an even more serious setback and increase in inequality than in 2008–2009. School leavers, young workers and unskilled laborers were particularly severely affected. Graduates were less likely to lose their jobs, more likely to switch to telework, and their employers faced a smaller decrease in sales revenue. The revenues of foreign-owned exporters fell more than the average in March but recovered by June. The decline experienced by businesses in the Hungarian ownership was slower but more prolonged.

The situation of women on the Polish labour market compared to the situation of men

Despite the many steps taken towards gender equality, women's situation on the labour market is worse than the respective situation of men. Women receive lower remuneration and are offered limited promotion opportunities. The aim of the research described in the paper is to compare the situation of men and women on the labour market and to indicate the factors which determine it. The study is based on data from the Labour Force Survey (Badanie Aktywności Ekonomicznej Ludności – BAEL) covering the years 2010–2018. The article presents an analysis of the employment and unemployment rates and estimates showing the relative chances of the outflow from employment and unemployment for both men and women. The results of the analyses indicated an upward trend in the employment in the given period, although the employment rate was lower for women than for men in all the featured sections. Moreover, women faced a greater risk of unemployment than men, despite the fact that the gap between the unemployment rates for men and women narrowed in the years 2015–2018. The highest probability of job loss and outflow to unemployment was observed among women aged 15–24 and 25–34, while the lowest among women with tertiary education.

Diversity Report 2021: Slow Progress is Some Progress

BCS has produced four reports analysing the ONS Labour Force survey, looking at diversity issues in the IT space. For IT, the picture is mixed but with some encouraging trends. From an employer point of view, it is perhaps a tale of opportunities missed, but with implied potential. Brian Runciman MBCS writes.

Earning Disparities in Indo Gangetic Plain Region – Evidence from Periodic Labour Force Survey of India

Indian economy has experienced an enormous change in employment from the independence. Employment totally based on the skills and requirement of the profile gives contributing to major portion to our national income. However, the earning inequality in India has unfavorably obstructed underprivileged in accessing elementary needs like health and education. Periodic labour force survey (PLFS) conducted by National Statistical Office of India generates estimates on earning status at national and state level for both rural and urban sectors separately. This paper demonstrates disaggregate level disparities in earning distribution classified by gender and occupational categories in Indo-Gangetic Plain region of India which includes Bihar, Punjab, Haryana, Uttar Pradesh and West Bengal. This analysis helps in distinguishing the disparities in earning distribution between rural and urban sector in this region classified by gender and occupational categories which often masked at further down the level of disaggregation. This study of earning disparities is directly pertinent for measuring and monitoring the sustainable development goal 8 and 10 and expected to offer extraordinary evidence to policy-makers for recognizing the areas demanding additional consideration.

A Researcher’s Guide to the Labour Force Survey: Its Evolution and the Choice of Public Use versus Master Files

To balance researchers’ need for detailed information with respondents’ confidentiality concerns, statistical agencies such as Statistics Canada commonly offer two versions of the same dataset: a public use file that is readily available and a master file with richer information but to which access is restricted. This article examines the choice of using public use versus master files of the Labour Force Survey (LFS). The article also provides researchers with a unified source of LFS information, including a thorough discussion of the structure of the LFS and its implication for research, such as the creation of mini-panels.

Do family duties influence the labour market participation? Case of Poland

The aim of our research is the identification of the most important factors which affect hourly wages, monthly incomes and worktime of the female and male employees. The investigation is provided applying individual data, originating from the Polish Labour Force Survey. Research concerns the female and male employees regarding the duties concerning child and elder care. In our analysis, we estimate econometric models, which are built for the whole sample and separately for women and men. Dependent variables are explained by characteristics of employees and workplaces together with the structure of families.