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In this paper, the author aims to investigate the relationship between economic growth and unemployment in six Arab countries from Middle East and North Africa (MENA) zone including Tunisia, Egypt, Morocco, Lebanon, Jordan and Oman through the implementation of Okun's law using quarterly dataset covering the time period 2000: 1–2014: 4.

In this paper, static and dynamic linear and nonlinear models are used to test the linkage between cyclical unemployment and cyclical growth rate.

The empirical results from considered models confirm an inverse linkage between unemployment rate and economic growth, as the Okun's law suggests (except for Oman). In a nonlinear autoregressive dynamic linear (NARDL) framework and gap specification, statistically significant Okun's coefficients indicate that output growth can be translated into employment gains. Absolute effect of an economic contraction is significantly larger than that of an expansion in Tunisia, Egypt, Morocco and Lebanon. The opposite is true for Jordan and Oman.

Empirical finding provides then an additional proof that Okun's law could exist in a developing countries such as Tunisia, Egypt, Morocco, Lebanon and Jordan. Hence, any attempt to increase gross domestic product (GDP) through some economic fiscal and/or monetary policies in these countries would reduce unemployment rate.

Based on asymmetric specification, the author can conclude with precision that an economic upturn of 3.37, 2.98 and 2.5%, respectively, in Tunisia, Morocco and Egypt reduces unemployment by 1%, whilst the downturn of 5.03 and 2.43% (and about 12%), respectively, in Tunisia and Morocco (and Lebanon and Jordan) achieves the opposite.

Unemployment is one of the major challenges facing most countries, including Africa as a continent. Seeking how to reduce unemployment, debt, inflation and increase gross domestic product (GDP), foreign direct investment (FDI) and gross capital formation in the continent has been an agenda of governments, policy makers and economists to. This study examines the relationship between economic growth, inflation, debt, FDI, gross capital formation, labor force, population and unemployment in Africa.

An updated panel dataset of 29 African countries was selected from different regions from 1991 to 2019. These countries were selected based on their unemployment, population growth and inflation rates. The Pesaran cross-sectional dependence and panel unit root test (the Dickey–Fuller cross-sectional supplemented and the Im-Pesaran-Shin cross-sectional) were applied. Further, the panel Autoregressive Distributed Lag (ARDL) model (Bounds test) and pooled mean group (PMG) estimator were utilized in this work.

This shows that economic growth, debt, labor force and population have a positive relationship with unemployment in the long run. Therefore, an increase in these variables generates an increase in the selected African countries' unemployment growth. In contrast, inflation, FDI and gross capital formation have a negative relationship with unemployment in the long run, which implies that an increase in these variables reduces unemployment in the selected African countries.

This study has potential limitations because some data from the countries are not up to date and some years are missing from the data.

This study contributes to understanding unemployment and Okun's law in the African economy. This study shows that an increase in economic growth leads to a rise in unemployment, while an increase in inflation leads to a decrease in unemployment.

This paper provides an insight into the major factors that increase and reduces unemployment for government and policy marker to take the adequate measure.

African countries are endowed with both human and natural resources. These resources constitute integral components for any economic development due to the long-lasting relationship with all sectors in an economy, yet there is an obvious disagreement between growing economy and employment generation in Africa. Though there has been a growing pattern of economic size, particularly the gross domestic product (GDP) among African countries, most of these economies are low in human development. The disagreement between economic growth and employment generation in Africa despite abundant natural resources located on the continent calls for public discourse among scholars. Therefore, the purpose of the study is to examine the peculiar drivers of unemployment intensity in a region characterized by endowed resources.

The paper adopts two approaches; the authors employed the pooled mean group (PMG) estimator and utilised stochastic frontier analysis (SFA) to generate a government efficiency index between the period 1991 and 2017 among sub-Saharan Africa (SSA) countries.

The empirical results through the single output-multiple inputs framework indicate that on average, there is a low level of government efficiency towards increasing the objective of human development in Africa. However, in the long run, natural resource endowment has a positive and significant relationship with employment generation for SSA. Hence, the study established that a low level of government efficiency has a long-lasting effect on low human development experienced in Africa.

The need to improve the level of government efficiency towards economic development by making both human and physical capital more effective will spur the exploration of natural resources.

The paper provides an empirical study of the effectiveness and efficiency of government through PMG and SFA in establishing the relationship between government approaches and employment level in selected SSA countries.

Despite the huge financial resources associated with oil, Nigeria has consistently recorded poor growth performance. Therefore, this study aims to examine how corruption and oil rent influence Nigeria’s economic performance during the 1996–2021 period.

Various estimation techniques were used. These include the bootstrap autoregressive distributed lag (ARDL) bounds-testing, dynamic ordinary least squares (DOLS), the fully modified OLS (FMOLS) and the canonical cointegration regression (CCR) estimators and the Toda–Yamamoto causality.

The bounds testing results provide evidence of a cointegrating relationship between the variables. In addition, the results of the ARDL, DOLS, CCR and FMOLS estimators demonstrate that oil rent and corruption have a significant positive impact on growth. Further, the results indicate that human capital and financial development enhance economic growth, whereas domestic investment and unemployment rates slow down long-term growth. Additionally, the causality test results illustrate the presence of a one-way causality from oil rent to economic growth and a bi-directional causal relationship between corruption and economic growth.

Existing studies focused on the effects of either oil rent or corruption on growth in Nigeria. Little attention has been paid to the exploration of how the rent from oil and the pervasiveness of corruption contribute to the performance of the Nigerian economy. Based on the outcome of this study, strategies and policies geared towards reducing oil dependence and the pervasiveness of corruption, enhancing human capital and financial development and reducing unemployment are recommended.

The comparison between economic growth and the character of monetary policy is one of the most frequently studied issues in policymaking. However, the number of studies incorporating a dynamic time warping approach to analyse the similarity of macroeconomic variables is relatively small.

The study aims at assessing the mutual similarity among various variables representing the financial sector (including the monetary policy by the central bank) and the real sector (e.g. economic growth, industrial production, household consumption expenditure), as well as cross-similarity between both sectors.

The analysis is based on the dynamic time warping (DTW) method, which allows for capturing various dimensions of changes of considered variables. This method is almost non-existent in the literature to compare financial and economic time series. The application of this method constitutes the main area of value added of the research. The analysis includes five variables representing the financial sector and five from the real sector. The study covers four countries: Czechia, Hungary, Poland and Romania and the 2010–2022 period (quarterly data).

The results show that variables representing the financial sector, including those reflecting monetary policy, are weakly correlated with each other, whereas the variables representing the real economy have a solid mutual similarity. As regards individual variables, for example, GDP fluctuations show relatively substantial similarity to ROE fluctuations – especially in Czechia and Hungary. In the case of Hungary and Romania, CAR fluctuations are consistent with GDP fluctuations. In the case of Poland and Hungary, there is a relatively strong similarity between the economy's monetisation and economic growth. Comparing the individual countries, two clusters of countries can be identified. One cluster includes Poland and Czechia, while another covers Hungary and Romania.

While several existing panel studies have focused on the linear specifications of the nexus between trade openness and unemployment, nonlinear panel studies on this subject remain less explored. This paper examines the asymmetric nexus between trade openness and unemployment in 34 selected sub-Saharan Africa (SSA) countries for the period spanning from 1991 to 2020.

The Pedroni and Westerlund panel cointegration tests were conducted to ascertain a long run relationship among the studied variables, while the panel nonlinear autoregressive distributed lag approach was applied to account for asymmetries.

The study revealed among other things that trade openness asymmetrically influences unemployment in the selected panel of SSA countries. In the long run, the positive shock in trade openness on unemployment is greater as compared to the negative shock.

The implications of this study include the need to (1) ensure the effective monitoring and supervision of trade flows in the sub-region so that their full benefits are maximized in terms of job creation and (2) ensure that a positive trade balance is maintained in the selected SSA countries.

The positive and negative shocks in trade openness are examined to determine their asymmetric effects on unemployment.

The paper aims to empirically examine the impact of foreign direct investment (FDI) inflows and digitalization on employment opportunities in selected 70 developing economies across the world over the period of 2001–2019. The same empirical investigations are also carried out on two groups of these developing countries created on the basis of the levels of FDI inflows and digitalization.

The study uses various panel unit root tests followed by the estimations of the generalized method of moments in the dynamic panel framework, using secondary data collected from the World Bank (2020), International Labour Organization (2020) and International Telecommunication Union (2020).

Empirical findings reveal that both FDI inflows and digitalization have positive effects on employment; however, the extent of the impact of digitalization is greater than that of FDI inflows in developing economies, mostly in countries with relatively low FDI inflows and low digitalization.

Conventionally, FDI inflows accelerate economic growth and thus improve the labour market in host countries. However, FDI inflows into developing countries with low-skilled labours may limit job creation, particularly during the process of digitalization. This study shows that despite a much moderate impact of FDI inflows, digital transformation supports a higher employment in developing economies with low level of FDI inflows and digitalization.

The labor market responds in a differentiated manner during recessions and expansions, and it is of vital importance to know the magnitude asymmetries. The purpose of this paper is to evaluate the effects of the disinflationary monetary policy (2005Q1–2022Q4) through the sacrifice rate measured in terms of unemployment and rate of critical labor conditions (RCLC) with nonlinear auto regressive distributed lag (NLARDL; Shin et al., 2014), which allows to efficiently estimate asymmetric effects in short and long terms in the presence of variables of different integration orders.

The authors estimate an asymmetric accelerationist Phillips curve, augmented with labor precariousness for Mexico (2005Q1–2022Q4) following the NLARDL approach (Shin et al., 2014).

The authors prove that the increase in the unemployment gap has greater disinflationary effects than the RCLC in both the short and the long term; the expansionary phases of the business cycle, which reduce U^Gap, do not have inflationary effects either in the short or in the long run, but improvements in the labor market do, when RCLC is reduced; raising RCLC appears to have been the companies’ main survival strategy since 2015; and these asymmetries can generate a low unemployment trap with high and growing precariousness, with huge dynamic costs for well-being, economic growth, inequality and poverty.

As labor precariousness grows, the implications are several both in the short and long run. In the short run, the most notorious example of the effects on workers has to do with unstable and insecure situations, that disrupt all their life planning options, and health issues. Bohle et al. (2004) found in the Organization for Economic Cooperation and Development countries that casual employees had less desirable and predictable working hours, greater work–life conflict and more associated health complaints than people with permanent jobs.

The approach includes the labor precariousness variable, which describes a new phenomenon in the labor market. Nowadays, workers are facing a new threat since firms are employing a new labor cost reduction strategy in which they do not lay off workers but rather paying them less, working them more hours, or reducing benefits. The asymmetries between the effects of precarity and unemployment can generate a poverty trap in the long run. This problem is, once again, of great relevance in the context of global high inflation.

This study aims to investigate the global issues of youth unemployment using bibliometric analysis covering the period from 1983 to 2022. There is a dearth of a bibliometric study analysis on unemployment, particularly youth unemployment even at the global level. The present study seeks to fill this gap by exploring the prominent studies related to youth unemployment at the global level.

Using VOSviewer software bibliometric results and the Scopus database, the study uncovered the most frequently cited, prominent and influential authors, as well as the institutions that have worked on youth unemployment and the most prominent keywords published on youth unemployment.

Nearly 80% of the research articles on youth unemployment were published from 2005 to 2022, and a significant increase in publication after 2012 is observed. Based on the published papers, the most studied determinants of youth unemployment are increased levels of regional economic advances, state demographics, relocation, household conditions, regional openness and export/import. Economic freedom, labour market reforms, economic growth, high proportion of part-time employment, active labour market policies, minimum wage norms, extent of bargaining scope and alignment are prominent determinants that reduce unemployment at large and improve labour market performance of youth in particular.

Bibliometric analysis, like the present study, can narrow down the most prominent sources of information on youth unemployment for beginners in this field of research.

This bibliometric study on youth employment assists researchers and policymakers in understanding and summarizing the necessary determinants of youth employment that are already being identified and studied based on practical evidence from the authors’ case study-based research work. The present study raises the issue of youth unemployment at large. It helps in identifying factors in one place and thus new researchers can use it as a starting point for their research on youth unemployment. It helps in providing clustering of factors. It highlighted the significant studies, authors and institutions working in this field.

On social implication, it can be argued that studies on topics related to human resources have a direct impact on society standards. By producing scientific knowledge that aids in the recognition of the complexities of human processes and behaviours, social science research significantly contributes to the enrichment of the community as a whole. When young people are unemployed, it causes social unrest and may increase crime and terrorism, all of which contribute to political instability. Youth unemployment causes psychological illness because of anxiety, alienation and depression. As a result, it causes social instability and necessitates immediate attention in all societies. The present study highlights that although the unemployment rate of youth is significantly higher in underdeveloped countries than the developed countries, their representation in the publication is significantly low. This under-representation of countries shows their lack of commitment to society in working on the issue of youth unemployment.

It is assumed that there are plenty of research studies on unemployment, particularly at the global level. However, various domains of researchers may require a bibliometric kind of analysis wherein they may get an idea about the prominent number of literatures arguing concerning issues at large, in the sense of “focused studies” covering the comprehensive viewpoint on youth unemployment. The paper aimed to emphasize the topic of youth unemployment, its development in the research field and the usefulness of bibliometric analysis in social sciences in general, and youth unemployment in particular.

A lack of sufficient gainful employment opportunities in developing countries means that those at the bottom of the income ladder resort to self-employment for survival. While self-employment equalises inequality by providing earning opportunities to such individuals due to the ease of entry, it also creates a competitive environment among the self-employed, consequently widening inequality. In light of this, the study aims to determine the optimal level at which self-employment narrows inequality.

Five-yearly average data from 72 developing countries covering 2000–2019 is used. Inequality measures include Gini, and self-employment includes total, male and female participation levels. The empirical analysis is based on the dynamic two-step system Generalized Method of Moments (GMM) estimation approach, two-stage instrumental variables (2 SLS IV) approach and Sasabuchi (1980) and Lind and Mehlum (2010) test. Several robustness checks are used to validate the findings.

Prima facie, the study's findings suggest that self-employment equalises inequality in developing countries. The income-equalising effect can be seen, however, when the total, male and female self-employment levels are below the optimal of 54.22% of total employment, 52.50% of male employment and 54.19% of female employment, respectively. Inequality widens when self-employment exceeds these optimal levels. Further, the income-narrowing effect of self-employment is larger than its income-widening effect. When self-employment is below its optimal level, it reduces inequality 80 times more effectively than when it widens above the optimal levels. The corresponding figures for male and female self-employment are 90 and 52, respectively. Second, the income-equalising effects of self-employment are gender-specific.

Developing countries striving to achieve SDG 10 should limit self-employment to the above-mentioned levels. To this end, an inclusive approach to reducing inequality requires these countries to use selective and targeted policy interventions to create gainful employment opportunities for those above the identified optimal levels and eventually assist them in utilising these opportunities.

To the best of the author’s knowledge, this is the first study to determine the optimal levels at which self-employment equalises income in developing countries. As such, it makes novel contributions to both labour and development economics.