2021African Development ReviewRequires access

Rethinking the impact of GDP on financial development: Evidence from heterogeneous panels

Kizito Uyi Ehigiamusoe, Vinitha Guptan, Suresh Narayanan

Open publisher page 45 citations

Abstract

Abstract This paper examines the nonlinear impact of real GDP per capita on financial development in a panel of 125 countries. It also determines the moderating effect of inflation on the impact of GDP on financial development. It employs the dynamic panel system generalized method of moments (GMM) and the dynamic common correlated effects (CCE) to do both panel and country‐specific analysis, as well as control for cross‐sectional dependence, heterogeneity and endogeneity. This study shows that GDP has a positive impact on financial development in the entire panel. However, when we split the panel into different income groups, we find a positive impact in the high‐ and middle‐income groups while the impact is insignificant in the low income group. Although we find no evidence of a nonlinear impact of GDP on financial development in the panel, the country‐specific analysis reveals a significant nonlinear relationship between GDP and financial development in 73 countries. We also show that inflation adversely moderates the positive impact of GDP on financial development in middle‐income countries. This study implies that the relationship between GDP and financial development depends on the levels of GDP and inflation rate. We recommend some policy options based on the findings.

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Abstract This paper examines the nonlinear impact of real GDP per capita on financial development in a panel of 125 countries. It also determines the moderating effect of inflation on the impact of GDP on financial development. It employs the dynamic panel system generalized method of moments (GMM) and the dynamic common correlated effects (CCE) to do both panel and country‐specific analysis, as well as control for cross‐sectional dependence, heterogeneity and endogeneity. This study shows that GDP has a positive impact on financial development in the entire panel. However, when we split the panel into different income groups, we find a positive impact in the high‐ and middle‐income groups while the impact is insignificant in the low income group. Although we find no evidence of a nonlinear impact of GDP on financial development in the panel, the country‐specific analysis reveals a significant nonlinear relationship between GDP and financial development in 73 countries. We also show that inflation adversely moderates the positive impact of GDP on financial development in middle‐income countries. This study implies that the relationship between GDP and financial development depends on the levels of GDP and inflation rate. We recommend some policy options based on the findings.

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Available abstract

Abstract This paper examines the nonlinear impact of real GDP per capita on financial development in a panel of 125 countries. It also determines the moderating effect of inflation on the impact of GDP on financial development. It employs the dynamic panel system generalized method of moments (GMM) and the dynamic common correlated effects (CCE) to do both panel and country‐specific analysis, as well as control for cross‐sectional dependence, heterogeneity and endogeneity. This study shows that GDP has a positive impact on financial development in the entire panel. However, when we split the panel into different income groups, we find a positive impact in the high‐ and middle‐income groups while the impact is insignificant in the low income group. Although we find no evidence of a nonlinear impact of GDP on financial development in the panel, the country‐specific analysis reveals a significant nonlinear relationship between GDP and financial development in 73 countries. We also show that inflation adversely moderates the positive impact of GDP on financial development in middle‐income countries. This study implies that the relationship between GDP and financial development depends on the levels of GDP and inflation rate. We recommend some policy options based on the findings.

Key concepts: Economics, Endogeneity, Panel data, Panel analysis, Real gross domestic product, Gross domestic product, Inflation (cosmology), Financial sector development

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