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Pemodelan Spasial Rasio Utang Pemerintah di Negara G20 Tahun 2003-2017
[Spatial Modelling Government Debt Ratios in G20 Countries 2003-2017]

Author

Listed:
  • Saputro, Agung Eddy Suryo
  • Lukiswati, Intan
  • Soleh, Agus M Soleh
  • Andriansyah, Andriansyah

Abstract

The ability to manage government debt is very important for a country. The government debt to GDP ratio, indicating a country ability to pay its debts, is often used as a limit to the amount that a government can issue. By using Geographically Weighted Panel Regression (GWPR) with location distance weighting, this study is aimed at describing the distribution pattern, classifying, and modelling the government debt ratios in G20 countries by observing spatial effects. The results show that the GWPR is the best model compared to the global panel regression in identifying that the government debt is influenced by inflation, final consumption, and population growth.

Suggested Citation

  • Saputro, Agung Eddy Suryo & Lukiswati, Intan & Soleh, Agus M Soleh & Andriansyah, Andriansyah, 2018. "Pemodelan Spasial Rasio Utang Pemerintah di Negara G20 Tahun 2003-2017 [Spatial Modelling Government Debt Ratios in G20 Countries 2003-2017]," MPRA Paper 105233, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:105233
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    G20. GWPR; Ratio of Government Debt; Spatial;
    All these keywords.

    JEL classification:

    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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