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This study aims to investigate the relationship between Kosovo remittances, migration and labor force participation and seeks to uncover how migration and remittances, often considered separately, interact to shape labor market outcomes across gender, age and education groups.

To analyze the relationship between remittances, migration and labor force participation, this study leverages multivariate probit (mvprobit) to rectify the endogeneity issue intrinsic from remittances and migration. Utilizing this robust methodological approach allows us to circumvent the limitations traditionally associated with biprobit analysis. The research is grounded in empirical evidence from the Millennium Century Corporation survey in Kosovo.

The findings indicate that remittances and migration are pivotal determinants in shaping the contours of labor force participation, particularly influencing disparities across gender, age and educational attainment. Further, this study unearthed intriguing evidence suggesting the disincentivizing effect of remittances on labor force participation, alongside the potentially disruptive influence of prospective migration plans.

The novelty of this work lies not only in the context-specific insights it provides into the socio-economic fabric of Kosovo—an area that has hitherto received limited scholarly attention—but also in its methodological innovation. The simultaneous application of mvprobit technique provides a nuanced approach to tackle the inherent endogeneity issue, thereby pushing the methodological frontiers of the field.

The objectives of this study are twofold: (1) to investigate whether the increase in FLFP enriches women's inclusive rights (economic, social, and political), (2) whether the effect of FLFP on inclusive rights is different across different economics (developed vs developing).

The study utilizes panel data encompassing 188 countries spanning the years 1981–2011. Discrete choice models, namely ordered probit and ordered logit, are employed, while also controlling for observable heterogeneity across countries, including factors such as inflation, income inequality, education, and human rights.

We find a positive association between FLFP and all aspects of women's rights (economic, social, and political). The results related to developed and underdeveloped countries are robust for women's political rights; however, the effect of FLFP on women's social and economic rights is insignificant for developing countries.

The need for continuous policy commitment to gender equality may be needed to bring about equality of inclusive rights (economic, social, and political rights) and to fulfill the sustainable development goals (SDGs). Therefore, the current study particularly adds value in existing research by investigating (empirically) the link between FLFP and different dimensions of women's inclusive rights.

The participation of females in economic activity remains a challenge, and received a lot of attention for a better labor policy discourse. The empirical research focused widely on the relationship between female labor force participation (FLFP) and economic development, called the feminization U-shape hypothesis. However, the linear/nonlinear relationship has been questioned due to empirical and methodological anomalies. Hence, this study aims to extend the previous work by reexamining this relationship in Pakistan.

The annual data from 1980 to 2021, the unit root tests augmented Dickey–Fuller and Phillips and Perron, the conventional autoregressive distributed lag bound test approach by including the quadratic-term of GDP per capita and the novel Sasabuchi–Lind–Mehlum (SLM) U test (2010) used for empirical estimation.

The findings revealed the prospects of a long-run nonlinear association between FLFP and economic development in Pakistan. However, an inverse U-shape exists between the female labor force participation rate (FLFPR) and GDP per capita, predicting that FLFP may decline in the future.

The traditional feminization U-shape hypothesis has little empirical support in the case of Pakistan. Therefore, the Government of Pakistan should enhance the enabling environment for females through the provision of better job opportunities, technical skills, on-the-job training and social security benefits during all phases of economic development.

The conventional approach of testing U-shape is insufficient. To the best of the authors’ knowledge, therefore, this study incorporated a wider data set in a time series that is less evident, an advanced methodology SLM U test (2010), to validate the feminization U-shape hypothesis in Pakistan for the first time.

Against the recent reversal of the gender gap in higher education that has been observed in many countries, this paper aims to explore why there are better chances for lower social class women to access higher education than for higher social class women in a relative comparison with the same groups of men. Based on the occupational approach and the Breen–Goldthorpe model, we demonstrate those country conditions under which stratification in individual chances to obtain higher education is more severe.

We use contextual characteristics which capture gender-based and occupational differentiation, including female labour force participation, the share of females in the service sector, and the share of males in upper-secondary vocational education. By using multilevel modelling techniques and data provided by the European Social Survey (2002–2018) for 33 countries, we have made a cross-country analysis of how the relationship between gender and class, as well as the achievement of higher education, is moderated by these features.

Our results show that a higher share of males in upper secondary vocational education in a given country is negatively associated with the likelihood of obtaining higher education, whereas a high share of females employed in services in a given country has a positive association with this likelihood. We have also found cross-level interactions between a higher share of employed females and women in the service sector, on the one hand, and those of working-class origin, on the other, that are positively associated with higher education achievement. In higher education achievement, the growing importance of horizontal differentiation based on occupation and gender has accompanied the declining power of vertical inequality based on social class.

This study combines gender and class in an analysis of patterns of inequalities of educational opportunity in different societies undergoing a post-industrialist shift.

This study investigates the effect of business cycles on school enrollment in Turkey. During recessions, school enrollment might increase as opportunity cost of schooling declines, yet it might also decrease because of reduced income households have for education. Which effect dominates depends on the context. We empirically explore this in a context displaying canonical features of developing countries.

Using the Turkish Household Labor Force Survey data for a period covering the Great Recession, we estimate the effect of unemployment rate separately for enrollments in general and vocational high schools and in undergraduate programs. To understand the cyclicality, we use a probit model with the regional and time variations in unemployment rates. We also build a simple theoretical model of work-schooling choice to interpret the findings.

We find that the likelihood of enrolling in general high schools and undergraduate programs declines with higher adult unemployment rates, but the likelihood of enrollment in vocational high schools increases. Confronting these empirical findings with the theoretical model suggests that the major factor in enrollment cyclicality in Turkey is how parental resources allocated to education change during recessions by schooling type.

Our finding of pro-cyclical enrollment in academically oriented programs is in contrast with counter-cyclicality documented for similar programs in developed countries, which highlights the importance of income related factors in developing-country contexts. Our heterogeneous findings for general and vocational high schools are also novel.

This phenomenological study, conducted within the discourse on the underrepresentation of women in academia, examined the factors influencing the advancement of women academics in science, technology, engineering, and mathematics (STEM).

The sample comprised twenty-one women academics from both public and private universities in Peru. Data were collected through in-depth interviews based on the women's experiences and subsequently processed using Moustakas’ (1994) stages for encoding, categorization, and analysis.

The study introduces a conceptual framework of nine factors – personal tastes and preferences, attitudes towards science as a vocation, care work, work–life balance, congruent gender roles, occupational segregation, lack of opportunities, low salaries, and lack of gender equality policies – that impact the career progression of women in STEM fields.

The results offer valuable insights for policymakers and academic authorities to address the barriers affecting women academics in STEM. The uniqueness of this paper lies in its investigation in Peru, a country with the highest female labor force participation in Latin America, where women constitute the majority of undergraduate program graduates.

This research highlights age-specific barriers to employment for older workers and the gap between activation policy design and implementation, focusing on difficulties in extending working life under employment support services.

This research employed a qualitative approach, utilizing semi-structured interviews to gather perspectives on extending the working lives of older adults. Eighteen experienced social workers who worked in employment support services for older workers who aged fifty-five and above participated in the study.

This study underscores the importance of comprehensively understanding the heterogeneity of individuals' circumstances and emphasizes the impact of intersectionality on the development of extending working life. It incorporates individual and familial difficulties, including considering caregiving responsibilities, health issues and housing challenges before exploring employment-related concerns. The study also highlights external factors influencing older workers' employment prospects, including employer perspectives, government support levels and public recognition of the necessity to extend working life.

This research sheds light on the impact of welfare-related stigma, which imposes obstacles and inflexibility on older workers seeking employment. It ultimately contributes to the sustainability and dynamism of the Asia–Pacific workforce while also informing regional discussions on social security and welfare services.

It uniquely employs the perspectives of social workers providing employment support services to highlight challenges and policy gaps in extending the working lives of older workers in Hong Kong. It also provides practical insights into strategies and mechanisms for extending working life across diverse social contexts.

This article employs a panel vector autoregression (PVAR) model to examine the relationship between digital financial inclusion (DFI), economic growth (EG), and gender equality (GE) across different levels of financial development.

Based on the current financial development dynamics, this study applies the PVAR method to two groups of countries: the first group represents the high financial development group, and the second group represents the low financial development group, during the period from 2015 to 2021.

The findings from impulse response functions reveal that digital financial inclusion fosters economic growth in nations with advanced financial systems, while simultaneously mitigating gender inequality. Conversely, in countries with less developed financial infrastructures, digital financial inclusion stimulates economic growth but exacerbates gender disparities. Moreover, the variance decomposition analysis indicates that the linkage between economic growth, digital financial inclusion, and gender inequality is more intertwined in countries with limited financial development than in those with well-established financial systems.

Effective deployment of new technologies relies heavily on technological infrastructure. This policy focuses on constructing and developing information technology infrastructure to create favorable conditions for the implementation of new DFI technologies. This study also emphasizes promoting equitable education and training by ensuring that both women and men have equal opportunities to access quality education and training. This may involve investing in early childhood education, providing access to primary education, and offering scholarships to women in technology, science, and engineering fields.

We investigate whether women are more likely than men to choose to pursue a competency-based labour market integration programme, rather than the time-based labour market integration programme. We further investigate whether women with existing but uncertified skills are even more likely to pursue a competency-based labour market integration programme.

We test our hypotheses using ordinary least squares applied to linear probability models. We discuss the relative advantages of this methodology. We show the robustness of our results through multiple specifications and estimation methods. Finally, we discuss the reasons preventing us from granting our results a causal interpretation and discuss how they are surmountable in future research.

Women are significantly more likely to enrol into competency-based programmes, relative to time-based. Women with existing but uncertified skills are significantly more likely to enrol into competency-based programmes, whereas women without skills or with college degrees are not significantly different from the baseline. Our findings are robust to various specifications, and we include a comprehensive set of fixed-effect vectors, addressing industrial, occupational and time-varying state specificities.

First, our empirical test of hypothesis H2 is hindered by the construction of the “some college or associate’s degree” variable in RAPIDS data. “Some college” is very different from an associate’s degree. Second we had to choose between omitted variable bias and selection bias. Because of the demonstrated importance of the occupation and industry variables in existing literature, we included those variables at the risk of selection bias. Occupation and industry fixed effects reduce, but do not eliminate, omitted variable bias. Finally, the third limitation of this paper is external validity. Registered Apprenticeship programmes are quite idiosyncratic to the United States.

The rollout and expansion of CBRA may thus be an avenue through policymakers may reduce the gender training gap. This may in turn give more women access to the labour market and allow more women to benefit from the “wage premia” of Registered Apprenticeship completion on the labour market (Lou and Hawley, 2019).

This article is the first that applies econometric methods to investigate women’s choices of labour market integration programmes, using Registered Apprenticeship as a case study. We discuss the implications of our findings, highlighting how competency-based programmes may be an approach to better serving more diverse populations in Registered Apprenticeship.

There has been a substantial increase in the implementation of programmes that aim to enhance the livelihoods of rural people by organizing them into groups, emphasizing women towards achieving women empowerment, which is one of the key goals of the Sustainable Development Goals (SDGs). This study aims to assess the impact of participation in self-help groups (SHGs) under the National Rural Livelihood Mission (NRLM) on the political empowerment of rural tribal women in India.

This study is based on primary data collected using a multistage random sampling method. Field research is conducted in the state of Jharkhand, primarily focusing on women belonging to the scheduled tribe category. The propensity score matching technique derives the results using the psmatch2 command in STATA.

The results show a significant positive change in women's access to voting rights, awareness of various government schemes and entitlements, political awareness and participation, campaigning during elections and leadership positions after participation in SHGs under NRLM.

The existing literature indicates that research on the empowerment of tribal women through participation in SHGs is scant. This study makes a novel contribution by examining the effectiveness of participation in SHGs under NRLM on the political empowerment of tribal women in rural India. This study will provide significant insights to the government, policymakers, practitioners and researchers working on SHGs and tribal women’s empowerment.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0489