International Debt Statistics Analysis Using a Multiple Linear Regression Model
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.
Authors
- Carlos Humberto Paván (ORCID: https://orcid.org/0000-0003-4448-4484)
- C Y Gu
- Avadhut Kolekar
Publication Details
- Journal
- Indian Journal of Computer Science and Technology
- Published
- 2025-08-26
- DOI
- https://doi.org/10.59256/indjcst.20250402047
- Primary Topic
- Monetary Policy and Economic Impact
- Type
- article
- Field-Weighted Citation Impact
- 0.00