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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.

Researchers have long been interested in testing the validity of Okun’s law due to its macroeconomic policy implications. However, most of the studies have focused on testing the law using aggregate data on unemployment and output. In recent times, attention has been shifted to testing the law at the sectoral level. In light of this, the purpose of this study is to examine the response of unemployment to sectoral outputs in Nigeria using the data that covers a period from 1981-2020.

To test the validity of Okun’s law at the sectoral level, both difference and gap methods of specifying Okun’s law are used. Furthermore, the author also uses a series of estimation methods, which include ordinary least squares (OLS), dynamic OLS (DOLS), fully modified OLS (FMOLS) and canonical cointegration regression (CCR).

The results, based on the difference model, are mixed irrespective of estimation and data filter methods. For the gap model, Okun’s law holds for all sectors irrespective of estimation techniques (especially DOLS, FMOLS and CCR) when the Hodrick–Prescott filter method is used to filter data. However, the author discovers that the coefficients of Okun’s law vary across the sectors as the response of unemployment to services sector output is greater than the rest of the sectors. When the Hamilton filter method is used to filter data, the results appear to be mixed across the sectors. The results are almost ditto when all the sectoral variables are put in one model.

To the best of the author’s knowledge, this is the first study that investigates the validity of sectoral Okun’s law in Nigeria, the leading economy in Africa.

The purpose of this paper is to examine Okun’s Law in European countries by distinguishing between the transitory and the permanent effects of output changes upon unemployment and by examining the effect of labor market protection policies upon Okun’s coefficients.

Quarterly data for 13 European Union countries, from the second quarter of 1993 until the first quarter of 2014, are used. Panel data techniques and Mundlak decomposition models are estimated.

Okun’s Law is robust to alternative specifications. The effect of output changes to unemployment rates is weaker for countries with increased labor market protection expenditures and it is more persistent for countries with low labor market protection.

The paper provides evidence that the permanent effect of output changes upon unemployment rates is quantitatively larger than the transitory impact. In addition, it provides evidence that increased labor market protection mitigates the adverse effects of a decrease in output growth rate upon unemployment.

Okun's law has been proven to be one of the most accepted theories in the macroeconomics field. It describes the relationship between gross domestic product (GDP) and unemployment. Arthur Okun's (1962) study was developed to help apply appropriate macroeconomic policy changes. Though the coefficient has been re‐estimated, Okun's original work states that a one‐percentage point reduction in the unemployment rate would produce approximately 3% more output. This correlation has continuously been scrutinized, its accuracy studied, and the degree of dependency these variables have on one another has been evaluated.

This paper studies one of the most paradoxical facts of the Spanish economic growth during the period 1982–2007: high growth of investment and aggregate demand accompanied by the stagnation of labor productivity, especially from 1994.

The authors propose two hypotheses: first, that the productive structure neutralized the mechanisms that link investment with productivity, essentially due to the low capital efficiency of the job-creating sectors (JCs); and consequently, investment drove production almost exclusively through employment, generating a trade-off between employment and productivity.

The econometric results find evidence in favor of both hypotheses applying a time-series methodology (ARIMA) to EU KLEMS data for a period of 25 years and 25 industries of the Spanish economy.

The first contribution of this paper is to offer an interpretation of the phenomenon from a perspective that combines elements of productive supply and aggregate demand, representing a novel contribution to the specialized literature. In addition, the authors show how the Kaldor-Verdoorn law could be neutralized due to employment creation (Okun's law) and the presence of a productivity-employment trade-off.

The Dominican trade deficit represents almost 16 per cent of its gross domestic product (GDP) and is insufficiently counteracted by tourism and remittances; not even a high devaluation closed the imbalance. Eighty per cent of the exports are from free trade zones. These facts reflect their low domestic entrepreneurial capacity. The purpose of this study is to critically evaluate the Dominican economic model.

The author motivates the discussion with descriptive statistics and then applies multiple time-series regressions at the macro level and at the industry level.

The attraction of foreign firms appears to substitute, and not complement, the building of local capacity. Regressions show that a GDP growth of 5 per cent does not decrease the high unemployment rate.

Using new Okun’s equations, it is concluded that sectors dominated by local producers and improvements in the trade balance better impact the unemployment. These findings challenge conventional wisdom that characterizes the Dominican economy as a “successful story”.

The industrial sector has been identified as one of the means to address the issue of unemployment due to its role in ensuring sustainable development. However, evidence from the Central Bank of Nigeria Statistical Bulletin reveals that the sector lags behind the agricultural and services sector in terms of its contribution to the gross domestic product. In light of this, the purpose of this paper is to ascertain whether the industrial sector development is a veritable tool in addressing the issue of unemployment in the long run for the Nigerian economy.

In order to determine whether industrial development is a veritable tool in addressing the issue of unemployment in the long run, the study makes use of the Autoregressive Distributed Lag model. The choice of this method over the commonly used Johansen co-integration approach is that it provides the mechanism to estimate the model in the presence of different order of integration among the macroeconomic variables; it allows us to combine and I(0) and I(1) series, while there is strict assumption of I(1) for all variables under the Johansen approach.

The major finding of the paper is that an inverse and elastic relationship exists between industrial output and unemployment. This suggests that the unemployment rate is very sensitive to changes in the industrial sector in Nigeria.

The major limitation is the availability of recent data to capture recent happenings in the Nigerian economy.

The paper considers the entire sector encompassed in the industrial sector as opposed to focusing on just the manufacturing sector.

This paper aims to investigate China–Africa Investment link, using over two decades of FDI’s data. During the specified periods, African economic growth path has been predominantly upward trending, despite multiple external threats. This impressive growth was partly because of the growth of FDI stock across the region. This study explores the various sources of FDI to Africa, mainly China’s FDI’s and how they influence African macroeconomic indicators, i.e. unemployment, export and import activities.

Pesaran autoregressive distributive lag (ARDL) is used as a framework to test the short-run and long-run relationship of indicators. Granger causality test checked the causality between growth and macroeconomic indicators.

The link between China’s FDI and African economic growth reported a negative/declining effect in both short and long run. In the long run, the effect of world FDI on growth was significant but not the in the short run. However, US FDI to Africa, China Export and Import from Africa reported an insignificant effect on growth. There was no evidence of Okun’s law, as a decrease in Africa unemployment does not increase growth. Overall, China’s FDI’s inflows to Africa are allocated to capital-intensive activities which has less labor employability. The Granger causality test reported a uni-directional link between growth and all series, except for human capital which experienced no link at all in all directions. Despite the issue of socio-infrastructure militating against growth in the region, African economy is likely to perform better, if more FDI’s are channeled into labor-intensive activities, because it has a reductive effect on unemployment.

The research considered point annual FDI data but not accumulated stock and is a macro-based study, i.e. regional economy.

This paper bridged the literature gap in African investment performance by providing an empirical justification in understanding the inflow of FDI, especially China. This is a useful guard in policy design and implementations in the attraction of the right type of investment, so as to reduce unemployment and promote growth.

The authors confirm that this study has not been published elsewhere and is not under consideration in whole or in part by another journal.

The area about unemployment and its participation in the economic progress has been widely debated in literature. A significant number of studies on this impediment of economic boom have been found to consider the concept through Okun’s law. This study aims to apply some different approach and re-define the model about determinants of unemployment via inclusion of electricity generation in it. The purpose here for such consideration is the redefinition of determinants to clearly examine the role of each participant in solution of the problem.

This study for accomplishment of subject matter considers macroeconomic determinants of unemployment and includes electricity generation process in model. Such model is then empirically tested via structural vector autoregression (VAR) and impulse response function.

The empirical analysis of the study by stating the presence of long-run association comprehend the findings of most of the previously held studies on the subject matter. In addition to such co-integration, the presence of long-run restriction validates the main research question by explaining the negative relationship of GDP and electricity generation with unemployment of the country. Additionally, the responses of impulse function further validate the hypothesis by stating the more response of both electricity generation and GDP than any other variable in elucidating the problem of unemployment.

The main limitation of this study is its restrictive use of electricity generation as a source of power generation. One can use other sources of power generation in addition to electricity generation in the study. Furthermore, this study only applies the concept of macroeconomic variables for getting the solution of problem. Besides macroeconomic factors, a number of microeconomic factors are also present that in addition to above mentioned macroeconomic variables help the policy makers to elucidate the problem.

The originality of this paper lies in its concept about involvement of electricity generation in determinants of unemployment. To date, no such study has been found in existing body of literature that has investigated the problem from this perspective, and, hence, this study represents contribution of authors to the area of literature.

This study aims to contribute to the current and well-documented phenomenon of hysteresis in the US economy after the Great Financial Recession. Compelling reasons lead me to believe that Verdoorn's law can be used to explain this phenomenon by relating hysteresis to a fall in the size of returns to scale of the whole economy.

Verdoorn's law is estimated using a time-varying regression model that employs Bayesian methods to examine the evolution of the Verdoorn coefficient. The investigation uses a bivariate time-varying model to estimate long-run growth rates of output and productivity while controlling for potential endogeneity problems.

The study finds substantial variation in the Verdoorn coefficient across time as well as a significant fall of it in the onset of the Great Financial Recession, which confirms the presence of hysteresis in the US economy. Additionally, it also finds a fall in the size of productivity shocks, and in the long-run growth rates of output and productivity according to previous studies.

The empirical investigation uses, novel to the literature on Verdoorn's law to date, a bivariate time-varying regression model with stochastic volatility. It also employs quarterly productivity data for a considerably long period, which to my knowledge, has not been used by previous works. Most importantly, this approach contemplates positive hysteresis––typically neglected––which provides a less bleak panorama.