Abstract The study aims to investigate the long and short-run impacts of women’s reproductive health and women’s empowerment on their economic opportunities in South Asia. The paper employs panel autoregressive distributed lag for eight South Asian countries from 1991 to 2021. The results reveal that awareness about contraceptives and the prevalence of prenatal care for pregnant women have a long-run and short-run positive relationship with female labour force participation (FLFP). These results reflect country-level patterns in which family planning, the use of modern contraceptives, and better health facilities for pregnant women enhance their economic opportunities. Additionally, female tertiary education has a long-run positive effect on FLFP, indicating that higher education, vocational training, and adequate skills support female’s entry into the workforce. Further, the study finds that the maternal mortality rate has a long-run positive relationship with FLFP. This phenomenon might be influenced by household coping mechanisms, wage increases due to labour shortages, and gender roles in a segmented labour market, which is extensively discussed in the paper. The study suggests that policymakers improve reproductive healthcare and increase female higher education to reduce gender inequality in the South Asian labour market.

Although African immigration has increased rapidly in the United States in recent years, little research explores the labor market outcomes for married African immigrants. Using a large sample of married African immigrants from the American Community Survey, this paper explores the association of full-time employment and wages with gender, timing of migration relative to one’s spouse, and intermarriage with foreign nationalities. We use logistic and Poisson regression empirical models to estimate this relationship. Results suggest that married women experience a penalty relative to their married male counterparts in terms of both employment status and wages. We find that females who migrate after their husbands have a lower probability of working full-time relative to females who migrate before, and that African immigrants who intermarry with either US natives or foreigners from other countries of origin experience significantly higher annual earnings compared to those with spouses from their own country of origin. These findings suggest that immigration policy that influences the timing of spousal immigration and intermarriage has important labor market implications.

Censoring from above is a common problem with wage information as the reported wages are typically top-coded for confidentiality reasons. In administrative databases the information is often collected only up to a pre-specified threshold, for example, the contribution limit for the social security system. While directly accounting for the censoring is possible for some analyses, the most flexible solution is to impute the values above the censoring point. This strategy offers the advantage that future users of the data no longer need to implement possibly complicated censoring estimators. However, standard cross-sectional imputation routines relying on the classical Tobit model to impute right-censored data have a high risk of introducing bias from uncongeniality (Meng 1994) as future analyses to be conducted on the imputed data are unknown to the imputer. Furthermore, as we show using a large-scale administrative database from the German Federal Employment agency, the classical Tobit model offers a poor fit to the data. In this paper, we present some strategies to address these problems. Specifically, we use leave-one-out means as suggested by Card et al. (2013) to avoid biases from uncongeniality and rely on quantile regression or left censoring to improve the model fit. We illustrate the benefits of these modeling adjustments using the German Structure of Earnings Survey, which is (almost) unaffected by censoring and can thus serve as a testbed to evaluate the imputation procedures.

Time-related underemployment (wanting to work more hours) has become an entrenched feature of a number of mature economies since the Global Financial Crisis of 2008, recent short-run post-COVID labour shortages notwithstanding. Employment and unemployment rates are thus increasingly inadequate measures of labour utilisation and underutilisation. This paper develops novel ‘Full-Time Equivalent’ (FTE) employment and unemployment rates based on hours worked and hours wanted calibrated to a 37.5-h full-time week for the United Kingdom. FTE rates reveal greater labour market slack than evident in conventional measures, as well as lower utilisation and/or greater underutilisation among women, young people, low-skilled workers and in geographically and economically peripheral regions. The FTE employment rate shows statistically significant correlations with both earnings and labour demand across UK local labour markets, whereas the conventional employment rate fails to detect this relationship. The paper argues that the use of FTE metrics by policy makers would point towards, firstly, more demand-side labour market policies in weaker local labour markets rather than relying heavily on coercive supply-side labour market activation and, secondly, less hawkish monetary policy required to control inflation, which causes unnecessary harm to economically weaker regions.

Most job search intensity models assume uniform search effort across all potential wage offers. I depart from this conventional assumption by proposing that agents allocate wage-specific search intensity, strategically avoiding effort on low-paying, unacceptable jobs or high-paying, improbable ones. This alternative model generates wage distributions at acceptance that differ markedly from the truncated distributions typical of models with constant arrival rates for wage offers. I leverage these distinct empirical predictions to develop two new nonparametric tests, applied to NLSY97 data, both of which reject the hypothesis of constant search intensity across wages. Furthermore, I estimate the structural parameters identifiable in each model, revealing that wage-specific search leads to greater total search effort, faster transitions into the upper tail of the wage distribution, and ultimately higher accepted wages—more than a 25% increase following unemployment. For low wages, the classic random search model delivers a fair replication of the actual data, but for higher wages targeted search is better. Wage-specific search suggests that job seekers not only need to search more, but also search better. This insight has important implications for employment policy, particularly in promoting job search literacy among the unemployed.

I study the association between task content of jobs and mothers’ employment transitions after the first birth in Germany. I construct measures of task content of jobs using data from the Employment Survey conducted by the German Federal Institute for Vocational Education and Training (BiBB). These indicators illustrate the career cost of children and how it is impacted by the technology- and globalization-driven labour market change. The measures are then linked to high-quality individual register data from the German Pension Fund (FDZ-RV) covering the years 2012–2020. Utilizing competing risk models, I show that women engaged in occupations with analytic and interactive task content, which are in high demand and incompatible with maternity-related employment breaks, are the most likely to transition to employment after their first birth. Conversely, women with occupations intense in routine tasks, which are more susceptible to automation or trade competition, are more likely to experience unemployment.

Using the administrative records of the Spanish Public Employment Service for the period 2018–2019, we analysed the impact of participation in job search assistance and training programmes on the chances of unemployed jobseekers finding employment, as well as the quality of the job obtained. Propensity score matching techniques were used to evaluate the effectiveness of these programmes. We found that participation exerted a positive and significant differential effect on the probability of transition from unemployment to employment and on the probability of finding a job of intermediate quality compared to non-participation. This positive impact was largely due to the effect of training programmes, the magnitude of which persisted even as the period elapsed between participation and exit towards employment increased, whereas job search assistance was less effective over time. The positive influence of participation appeared to be more intense for specific socioeconomic groups.

Comparative school-to-work research has long emphasised the role of institutions in shaping youth labour market integration. This paper provides an overview of this research stream, consisting of four main sections. The first section introduces a variety of labour market outcomes of young graduates within Europe and identifies country clusters with higher and lower outcomes; this empirical evidence has so far remained limited in the multivariate oriented research stream. The second section links these labour market outcomes to the institutional settings of the education systems prevalent in the country clusters. By considering a wide country sample, it introduces a reliable country classification of transition regimes (along the OLM–ILM continuum), which has so far been partly inconclusive in research. The third section links labour market outcomes in turn to labour market institutions of the country clusters. This section emphasizes why labour market institutions drive only particular individual outcomes. Finally, the fourth section connects the previous three: it describes how certain institutional complementarities affect the youth labour market integration in the identified European country clusters. The review further identifies theoretical inconclusiveness or data-related desiderata, for which recommendations and solutions are proposed. The paper thus aims to assist both familiar and unfamiliar researchers to access the research stream by offering a comprehensive introduction and clear country classifications, linking research streams, and providing solutions to identified issues.

In this paper, we report the results of a meta-analysis of 670 estimates extracted from 53 previous research works to estimate the gender wage gap in European emerging markets. A meta-synthesis of collected estimates exhibits that the gender differences have a statistically significant and economically meaningful impact on wage levels. Synthesis results also reveal that the gender wage gap in countries with EU membership is lower than that in non-EU member states and, nevertheless, the wage gap between men and women has a tendency to diminish over time in the region as a whole. The meta-regression analysis of literature heterogeneity and test for publication selection bias back up the findings obtained from the meta-synthesis.

Short-time work (STW) in Germany allows for a lot of flexibility in actual usage. Ex ante, firms notify the Employment Agency about the total number of employees eligible, and, up to the total granted, firms can flexibly choose how many employees actually use STW. In firm-level surveys, which provide timely information on STW in Germany, over-reporting of the number of employees on STW is prevalent. This study explores reasons for STW over-reporting based on a high-frequency and low-cost survey initiated during the Covid-19-pandemic (BeCovid) and a low-frequency and high-cost long-running survey (BP). Merging administrative records on actual use of STW, firms that use STW prove more likely to participate in the BeCovid survey. Multi-establishment firms over-report STW because they tend to report STW for all subfirms. The BP uses more interview time and confirms the over-reporting of STW use in the survey month, while—crucially—the over-reporting drops sharply with a few months of retrospection.