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Robust structural determinants of public deficits in developing countries

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  • Blaise Gnimassoun
  • Isabelle Do Santos

Abstract

Many macroeconomic, institutional, demographic, social and political variables have been proposed by previous studies as significant determinants of public deficits in developing countries. This paper asks whether their estimated impact on public deficits is robust under thousands of possible alternative specifications. We deal with model uncertainty using Sala-i-Martin’s Extreme Bound Analysis. Our results clearly show that external shocks, the debt ratio, financial development, the level of democracy and government control over expenditures are robustly associated with fiscal deficits. Public deficits are lower in countries which provide better stability of public expenditure in the face of revenue instability and which are less exposed to negative external shocks. In contrast, fiscal deficits increase with the debt ratio, financial development and the level of democracy. The relative importance of external shocks in all the regressions argues in favour of greater economic diversification in order to mitigate the impact of negative shocks on public finances.

Suggested Citation

  • Blaise Gnimassoun & Isabelle Do Santos, 2021. "Robust structural determinants of public deficits in developing countries," Applied Economics, Taylor & Francis Journals, vol. 53(9), pages 1052-1076, February.
  • Handle: RePEc:taf:applec:v:53:y:2021:i:9:p:1052-1076
    DOI: 10.1080/00036846.2020.1824063
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    More about this item

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems
    • H62 - Public Economics - - National Budget, Deficit, and Debt - - - Deficit; Surplus
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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