Pemodelan Spasial Rasio Utang Pemerintah di Negara G20 Tahun 2003-2017

Spatial Modelling Government Debt Ratios in G20 Countries 2003-2017

Agung Eddy Suryo Saputro, Intan Lukiswati, Agus M Soleh Soleh and Andriansyah Andriansyah

MPRA Paper from University Library of Munich, Germany

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.

Keywords: G20. GWPR; Ratio of Government Debt; Spatial (search for similar items in EconPapers)
JEL-codes: F34 F37 (search for similar items in EconPapers)
Date: 2018-11-01
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https://mpra.ub.uni-muenchen.de/105517/1/MPRA_paper_105233.pdf revised version (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:105233

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