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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.

The Covid-19 pandemic appears to have engendered heterogeneous effects on individuals’ labour market prospects. This paper focuses on two possible sources of a heterogeneous exposition to labour market risks associated with the pandemic outbreak: the routine task content of the job and the teleworkability. To evaluate whether these dimensions played a crucial role in amplifying employment and wage gaps among workers, we focus on the case of Italy, the first EU country hit by Covid-19.

Investigating the actual effect of the pandemic on workers employed in jobs with a different degree of teleworkability and routinization, using real microdata, is currently unfeasible. This is because longitudinal datasets collecting annual earnings and the detailed information about occupations needed to capture a job’s routine task content and teleworkability are not presently available. To simulate changes in the wage distribution for the year 2020, we have employed a static microsimulation model. This model is built on data from the Statistics on Income and Living Conditions (IT-SILC) survey, which has been enriched with administrative data and aligned with monthly observed labour market dynamics by industries and regions.

We measure the degree of job teleworkability and routinization with the teleworkability index (TWA) built by Sostero et al. (2020) and the routine-task-intensity index (RTI) developed by Cirillo et al. (2021), respectively. We find that RTI and TWA are negatively and positively associated with wages, respectively, and they are correlated with higher (respectively lower) risks of a large labour income drop due to the pandemic. Our evidence suggests that labour market risks related to the pandemic – and the associated new types of earnings inequality that may derive – are shaped by various factors (including TWA and RTI) instead of by a single dimension. However, differences in income drop risks for workers in jobs with varying degrees of teleworkability and routinization largely reduce when income support measures are considered, thus suggesting that the redistributive effect of the emergency measures implemented by the Italian government was rather effective.

No studies have so far investigated the effect of the pandemic on workers employed in jobs with a different degree of routinization and teleworkability in Italy. We thus investigate whether income drop risks in Italy in 2020 – before and after income support measures – differed among workers whose jobs are characterized by a different degree of RTI and TWA.

This study aims to evaluate the effectiveness of tax incentives provided by the Ethiopian government in spurring private investment and job creation, using unique administrative and survey data.

The study employs a dataset covering large- and medium-scale manufacturing in Ethiopia from 2012 to 2018, combined with administrative data on actual tax payments and statutory obligations to gauge the impact of tax incentives. Regression analysis using the generalized method of moments (GMM) is used to examine the relationship between tax incentives and employment, taking into account variations in production, distribution and financial costs.

The study finds that tax incentives do not significantly affect employment at conventional significance levels. The incentive elasticity of employment appears to diminish as production, distribution and financial costs increase. Consequently, the incentives provided by the government have not had a substantial impact on employment generation within the manufacturing sector.

This study is unique for its comprehensive analysis of tax incentives in the Ethiopian manufacturing sector using both administrative and survey data. It highlights that increasing production and financial costs can offset the employment benefits of these incentives, emphasizing the need for a more favorable business environment for private investors.

The existence of mismatches between training and jobs is relatively common and is accentuated in times of crisis where unemployment is growing. The negative effects that this phenomenon can generate on both workers and the economy makes its study relevant. The objective of this research is to analyse whether graduates of the Catalan university system have jobs according to their educational level.

This paper sees how graduates’ own and acquired characteristics influence the probability of a mismatch from the analysis of the microdata of different waves of the employment insertion survey conducted by the Agència per a la Qualitat del Sistema Universitari de Catalunya (AQU).

The main conclusions focus on confirming that more humanities-oriented degrees tend to have a higher level of mismatch while technology or medicine approach a perfect fit. Therefore, bringing the education and business systems together is important to reduce this gap. Meanwhile, in terms of activities, services such as hospitality and retail have historically been sectors with a poor fit, and what has happened with Catalan graduates has not been an exception.

The main contribution of the research has been to highlight where there is a greater mismatch from the point of view of training, the type of work and its evolution over time, detecting the need to adjust labour supply and demand.

This study explores job search dynamics among employed individuals. We focus on factors related to employees initiating their job searches and changing its intensity.

We conducted a qualitative study with 41 employed job seekers using semi-structured interviews.

Our analysis reveals six catalysts that initiate employee job searches and nine modulators that influence fluctuations in job search effort. We highlight the significant roles of social actors, resource dynamics, and personal, professional, and environmental factors in shaping employees’ job searches.

The diverse sample strengthens theory building but may not represent all employed job seekers. Future research would benefit from longitudinal designs.

This study underscores the influence of social actors on employee job search processes. Our findings offer valuable insights for policymakers and employers seeking to support employed job seekers and proactively manage voluntary turnover.

This research advances our understanding of employee job search beyond its traditional role in voluntary turnover. By integrating Conservation of Resources (COR) theory, we provide a framework for understanding employee job search initiation and modulation.

There is extensive literature on the determinants of job tenure insecurity. However, very little is known about the individual drivers of labour market insecurity. Additionally, while a piece of literature shows that volunteering improves workers' income, no study considers volunteering as an activity which could help workers to feel more confident about their perception of labour market insecurity if they lost or resigned their jobs. Therefore, purpose of this paper is to study whether workers who volunteer are less likely to perceive labour market insecurity.

The paper employs data from the sixth European working conditions survey which provides a great deal of information on working conditions. For the empirical investigation, probit model as well as robustness analysis have been implemented.

Results show that employees who do voluntary activities have a greater likelihood of declaring perceived labour market insecurity, which is nearly 3 percentage points lower, than employees who do not volunteer. Findings suggest that governments need to improve the relationship between for-profit and non-profit sectors to encourage volunteering.

This is the first study which considers volunteering as an activity which could help workers to feel more confident about their perception of “labour market insecurity”. Most of the studies on “labour market insecurity” do not focus on the workers individual characteristics but mainly on the labour markets institutional characteristics and welfare regimes differences.

In this research, we explore the dynamics among measures of income inequality in the USA, male and female unemployment rates, and growth in government transfer using time series data.

This research adopts a macro-econometric approach to estimate a structural VAR model using time series data.

Our structural impulse responses found that growth in government transfer increases unemployment rates for both males and females. Female income inequality declines with increased government transfer. When the female income ratio rises, we observe that government transfer outlays fall over the forecast horizon. Variance decomposition finds that growth in government transfers is impacted by the male unemployment rate relatively more than the female unemployment rate. This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time.

This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time.

This research investigates the dynamics among income inequality, government transfer, and unemployment rates. There is a dearth of research articles that adopt a macro-econometric in this area.

Young graduates in Morocco are encountering an increasingly challenging labor market environment. Confronted with intense competition, job insecurity, and unclear career trajectories, many find themselves in low-skilled positions despite possessing relevant qualifications. This issue is particularly pronounced among vocational training graduates, who experience professional downgrading at a rate three times higher (33.6%) compared to their peers from general education (11.6%) (HCP, 2018). Our study aims to investigate professional downgrading among young vocational training graduates in Morocco, focusing on the factors contributing to this phenomenon and identifying potential solutions to address it.

Our study is based on the insertion and career path survey conducted by the Department of Professional Training with graduates of professional training programs in Morocco. For this edition, the survey was conducted in 2020, encompassing all 31,498 graduates of the 2016 professional training programs. The Heckman self-selection model is employed to analyze and explore various dimensions of downgrading. Factors such as gender, age, marital status, parental education, and the choice of vocational training field are scrutinized to understand their influence on downgrading.

The study reveals several key findings: Women exhibit a lower probability of professional downgrading compared to men. Young graduates are more vulnerable to downgrading, emphasizing the necessity for career guidance and mentorship programs to facilitate their entry into the job market. Marital status plays a role, with married individuals having a higher likelihood of downgrading. Parental education, particularly that of mothers, proves critical in preventing subjective downgrading of vocational training graduates, highlighting the need for adult literacy and education programs. The effectiveness of the National Agency for the Promotion of Employment and Competencies (ANAPEC) programs in preventing downgrading among vocational training graduates is questioned, suggesting the need for program revisions tailored to this population. The choice of vocational training field significantly impacts downgrading, with graduates of technical training programs experiencing advantages. This emphasizes the importance of diversifying training fields and aligning them with market demands.

This study provides valuable insights into the phenomenon of professional downgrading among young vocational training graduates in Morocco. The findings emphasize the need for targeted policy interventions. Recommendations include supporting young graduates, reassessing programs offered by the ANAPEC, and enhancing technical training to better align with the evolving demands of the labor market.

This study aims to investigate the effect of total external debt stock on economic growth of the East African Community (EAC) bloc.

The study applies balanced panel data for seven of the eight EAC member states, spanning the period from 2013 to 2022, and uses panel data models, i.e. pooled ordinary least squares, random and fixed effects models.

The findings reveal a significant positive correlation between total external debt stock and economic growth, supporting the economic theory that reasonable levels of borrowing can stimulate economic growth, particularly when funds are channeled into productive activities. However, the relationship between foreign direct investment and economic growth lacks statistical significance, indicating challenges in attracting sufficient investment for substantial growth within the EAC bloc. Trade openness shows a negative and statistically insignificant correlation with economic growth. Additionally, the study finds a positive and significant correlation between the unemployment rate and economic growth, while the inflation rate demonstrates a positive but statistically insignificant relationship with economic growth.

The study recommends improvements in debt management practices, enhancements in the business environment, infrastructure investments, a reassessment of trade policies and initiatives to stimulate job creation and SME development. More importantly, governments should focus on expanding the tax base in ways that stimulate growth, thereby reducing reliance on external debt.

This study is unique as it revisits the effect of external debt stock on economic growth following Somalia’s recent membership in EAC bloc.

The fear of the pandemic, confinement at home and the need to work created a unique situation. The pandemic catalyzed work-from-anywhere practice by adopting information and communication technologies (ICT) across all industries. While ICT saved organizations, it increased technostress among the workforce. A better understanding of the adverse effects of ICT usage might enable organizations to manage the mental well-being of the workforce. While technostress is gaining increasing interest, scholarly work investigating the dimensions of technostress and its impact on creating stress across various employee demographics and industry types is missing. Contrary to the prevalent assumptions, the authors theorized and tested the adverse moderation effect of the home-work interface on the linkage between technostress dimensions and stress. This paper aims to discuss the aforementioned objective.

The study captures dimensions of technostress and the resulting stress at work using a survey-based analysis of 881 working employees in India, representing multiple industries and functions.

The study indicates that techno-overload, techno-complexity and techno-invasion significantly impact employees during the pandemic. The authors further found that the home-work-interface is a powerful factor in understanding the complex linkage between dimensions of technostress and its outcomes.

Based on the Conservation of Resources Theory and the Job-Demand-Resources model, this study highlights the adverse impact of this trend on employee well-being. However, the study suffers from a cross-sectional research design. The technostress research has focused primarily on static, at-premise environments and mostly on high ICT usage industries. Due to the pandemic, it has neglected the impact of various technostress dimensions across employee cohorts subjected to rapid technology-enabled working. Further, most studies focus on the voluntary choice of remote work. Employees struggle with the unexpected and involuntary shift to technology-enabled remote work. This study contributes to the literature by examining the consequences of technostress in the context of non-voluntary remote work. Contrary to prevailing assumptions, this study highlights the adverse effect of organizational home-work interface in influencing ICT-created stress.

The increasing use of ICT enables telecommuting across the workforce while increasing organizational productivity. Due to the pandemic, these trends will likely change the future of work permanently. To minimize employee stress, practitioners need to reconsider the dimensions of technostress. Further, the study cautions against the prevalent interventions used by practitioners. While practitioners facilitate a home-work interface, it could have adverse consequences. Practitioners may consider the adverse consequences of home-work interface while designing organizational policies.

This study during the pandemic is crucial as research forecasts the likelihood of other cataclysmic events, such as future pandemics and political or climate change events, which may sustain technology-driven remote work practices and remain a feature of the future workplace. Hence understanding the implications of the dimensions of technostress would help organizations and policymakers to implement necessary interventions to minimize employee stress.

The present study examines the dimensions of technostress across multiple industries and job functions in an emerging market marked by a high economic growth rate and an Eastern cultural context. This study presents the dark side of excessive ICT adoption and indicates how organizations and HRM practices can help mitigate some of these effects.