Impact of public debt on economic growth: a quantile regression approach
This study aimed at investigating the nexus between government debt and its determinants in the context of sustainable economic growth for 97 countries over the period from 2004 to 2018 by employing a panel data quantile regression and comparing it across a fixed-effects model and a generalized meth...
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my.upm.eprints.1083122025-03-05T01:33:30Z http://psasir.upm.edu.my/id/eprint/108312/ Impact of public debt on economic growth: a quantile regression approach San, Chen Kong Chin, Lee This study aimed at investigating the nexus between government debt and its determinants in the context of sustainable economic growth for 97 countries over the period from 2004 to 2018 by employing a panel data quantile regression and comparing it across a fixed-effects model and a generalized method of moments (GMM) model. The different touches of debt on economic growth were analysed. The quantile regression estimates revealed that government debt has various impacts on economic growth, relying on the degree of economic performance. Government debt negatively affects economic growth across all the quantiles. More interestingly, the quantile regression estimates indicated that in countries with a very low level of real GDP per capita growth, government debt has a stronger pernicious effect on economic growth compared to upper-middle and high-income countries. Hence, our results provided insightful information for policy makers in designing appropriate fiscal policies particularly for low- and lower- middle-income countries to mitigate the negative effect on economic growth, and it should be maintained at a low and reasonable level to promote sustainable economic growth. JEL Classification: E61, E62, E63, H63, O4, O40 SAGE Publications 2023 Article PeerReviewed San, Chen Kong and Chin, Lee (2023) Impact of public debt on economic growth: a quantile regression approach. South Asian Journal of Macroeconomics and Public Finance, 12 (2). pp. 250-278. ISSN 2277-9787; eISSN: 2321-0273 https://journals.sagepub.com/doi/10.1177/22779787231207218 10.1177/22779787231207218 |
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This study aimed at investigating the nexus between government debt and its determinants in the context of sustainable economic growth for 97 countries over the period from 2004 to 2018 by employing a panel data quantile regression and comparing it across a fixed-effects model and a generalized method of moments (GMM) model. The different touches of debt on economic growth were analysed. The quantile regression estimates revealed that government debt has various impacts on economic growth, relying on the degree of economic performance. Government debt negatively affects economic growth across all the quantiles. More interestingly, the quantile regression estimates indicated that in countries with a very low level of real GDP per capita growth, government debt has a stronger pernicious effect on economic growth compared to upper-middle and high-income countries. Hence, our results provided insightful information for policy makers in designing appropriate fiscal policies particularly for low- and lower- middle-income countries to mitigate the negative effect on economic growth, and it should be maintained at a low and reasonable level to promote sustainable economic growth. JEL Classification: E61, E62, E63, H63, O4, O40 |
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San, Chen Kong Chin, Lee |
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San, Chen Kong Chin, Lee Impact of public debt on economic growth: a quantile regression approach |
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San, Chen Kong Chin, Lee |
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San, Chen Kong |
title |
Impact of public debt on economic growth: a quantile regression approach |
title_short |
Impact of public debt on economic growth: a quantile regression approach |
title_full |
Impact of public debt on economic growth: a quantile regression approach |
title_fullStr |
Impact of public debt on economic growth: a quantile regression approach |
title_full_unstemmed |
Impact of public debt on economic growth: a quantile regression approach |
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impact of public debt on economic growth: a quantile regression approach |
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SAGE Publications |
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2023 |
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http://psasir.upm.edu.my/id/eprint/108312/ https://journals.sagepub.com/doi/10.1177/22779787231207218 |
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