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International Debt Statistics Analysis Using a Multiple Linear Regression Model

Pavan C1 Chinthan GU2 Avadhut Kolekar3
123 Department of CSE - Data Science, Dayananda Sagar Academy of Technology and Management, Bengaluru, Karnataka, India.

Published Online: May-August 2025

Pages: 353-355

Abstract

This study uses multiple linear regression to analyze the factors that influence a nation's foreign debt. The study looks for important indicators of a nation's external debt using a dataset of economic data, including GDP growth, inflation rate, trade balance, interest rates, and foreign direct investment.Based on data from a representative sample of countries over the past 20 years, the research offers insights into both industrialized and emerging economies. Results show that while GDP growth has a moderating effect, higher inflation and trade deficits are consistently associated with larger external debt.The model highlights the intricacies of international financing and finds a statistically significant relationship between the selected factors and foreign debt. In a globalized financial environment,these observations provide crucial information for policymakers seeking to influence economic policy and control manageable debt levels.

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