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The paper investigates the prevalence of extreme poverty in a panel of 39 sub-Saharan African (SSA) countries over the period 2000–2018 while accounting for spillover effects.

The study adopts the recently developed spatial dependence-consistent, bias-corrected quasi-maximum likelihood (QML) estimators and the linear dynamic panel regression to control for the potential endogeneity in poverty and corruption spillovers.

The spatial model shows. consistently across all the specifications, that there is a substantial spillover effect of corruption and poverty across the region. Additionally, the study also found that investment in health and education is a significant determinant of poverty in the region. However, the effectiveness of these policy variables to reduce poverty declines in the face of corruption spillovers. More importantly, the empirical analysis shows that poverty does not only exhibit spatial spillovers but also has a persistent effect over time. The results, therefore, suggest that to reduce poverty in the region, sub-Saharan African governments must adopt spatially differentiated policies and programmes by working together to reduce unemployment and corruption in the region, and not the widely adopted spatially mute designs currently in place. The research and policy implications are discussed.

The study accounts for spatial dependency and spillover effects in the analysis of poverty and corruption in SSA

The purpose of this study is to examine the effect of foreign capital inflows on economic growth in 15 Economic Community of West African States (ECOWAS) countries over the period 2008–2018. Specifically, this paper investigates whether selected foreign capital inflows, namely, foreign debt, foreign aid and foreign direct investments substitute or complement government spending in ECOWAS.

The study adopts the two-step system generalized method of moments (GMM) method of estimation to address the problem of dynamic endogeneity inherent in the relationship.

The result shows that foreign capital inflows into ECOWAS region have not transmitted into economic growth in the region. Further, the findings reveal that foreign capital inflows to ECOWAS have substituted for government spending. The results might be as a result of the high level of corruption in ECOWAS. The results also show that when institutional quality is interacted with foreign capital inflows, the result shows a negative and statistically significant effect on economic growth.

Unlike previous studies which pooled both developed and developing economies together, the authors investigate this relationship in a regional study, using ECOWAS to create a roughly optimum size. In addition, the authors adopt the GMM-system method of estimation to address the problem of dynamic endogeneity inherent in the relationship, which has largely been ignored in extant studies.

The study examines whether the growth effect of government spending is contingent on the level of institutional environment prevalent in Economic Community of West African States (ECOWAS).

The study adopts the more refined and more appropriate dynamic threshold panel by Seo and Shin (2016) and made applicable be Seo et al. (2019). The technique models a nonlinear asymmetric dynamics and cross-sectional heterogeneity simultaneously in a dynamic threshold panel data framework.

The results show that there is a threshold effect in the government spending-growth relationship. Specifically, the authors found that the impact of government spending on economic growth is positive and statistically significant only above a certain threshold level of institutional development. Below that threshold, the effect of government spending on growth is insignificant and negative at best. The findings suggest that government spending-growth nexus is contingent on the level of Institutional quality.

Unlike previous studies that adopt the linear interaction model which pre-impose a priori conditional restrictions, this study adopts the dynamic threshold panel framework which allows the lagged dependent variable and endogenous covariates.

This study examines the asymmetric effect of government spending on economic growth in Nigeria over the period 1980–2017. Specifically, this study investigates whether the response of economic growth to government spending shocks differs according to the nature of shocks on them. In addition, the authors examine whether the stabilizing effects of fiscal policies are dependent on the state of the business cycle.

The study adopts the linear fiscal reaction function in addition to the nonlinear regression model of Hatemi-J (2011, 2012), Granger and Yoon (2002), which allows us to separate negative shocks from positive shocks to government spending. Similarly, the authors adopt the generalized method of moments (GMM) techniques of Hansen (1982) to account for simultaneity and endogeneity problems inherent in dynamic model.

The authors’ findings reveal that there is evidence of asymmetry in the government spending–economic growth nexus in Nigeria over the period of study. Specifically, the authors find that the response of economic growth to government spending shocks differs according to the nature of shocks on them. More specifically, the study established that the stabilizing effects of fiscal policies are dependent on the state of the business cycle.

Unlike the traditional method of modeling asymmetry, which adopts the simple inclusion of a squared government spending term or by the inclusion of a cubic government spending term, the model adopted in this study allows us to model shocks and show how the responses of economic growth to government expenditure differ according to the nature of shocks on them.

The purpose of this study is to investigate the effect of government expenditure on economic growth in 15 Economic Community of West African States (ECOWAS) countries over the period of 2005–2017. More precisely, this paper investigates whether institutional environment influences the effect of government spending on economic growth.

This study adopts the generalized method of moments-system method of estimation to address the problem of dynamic endogeneity inherent in the relationship. Similarly, unlike previous studies which assume that the disturbances of a panel model are cross-sectionally independent, we account for cross-section dependency and cross-country heterogeneity inherent in empirical modeling using Driscoll and Kraay's nonparametric covariance matrix estimator, adjusted for use with both balanced and unbalanced panels along with Monte Carlo simulations.

The authors find that though, government spending has a positive impact on economic growth but the level of institutional quality adversely affect that positive impact. This suggests that the institutional environment in ECOWAS countries is a drag and not a push factor for government fiscal operations and/policies. Thus, the results provide empirical evidence that there is a conditional relationship between government spending and economic growth in African countries. That is, the effect of government spending on economic growth is dependent on the quality of institutions. Lastly, these findings suggest that in order for government spending to contribute to economic growth, African countries must develop a strong institutional environment.

Unlike previous time series studies for African countries which concentrated on the two variable case, we include institutional quality as a third variable to underline the potential importance of institutional quality for economic growth in ECOWAS countries.

The purpose of this paper is to examine the direction of causality between government expenditure and economic growth in the Economic Community of West African States (ECOWAS) countries.

The study adopts the recently developed panel vector autoregressive (PVAR) by Love and Abrrigo (2015) and two-step system generalized method of moments (GMM) in order to resolve the inherent problems of endogeneity and persistence in economic data.

The results from the study show no evidence of either unidirectional or bidirectional causal relationship between government expenditure and economic growth in ECOWAS member countries.

Unlike previous studies that adopted cointegration technique, we adopt a system GMM through the application of a dynamic PVAR framework within the framework of panel data analysis in order to address the possibility of feedback effect in the causal relationship between government expenditure and economic growth. In addition the PVAR also allows us to model shocks across countries.