EXPLORING INFLATION DRIVERS IN ETHIOPIA: A REGRESSION ANALYSIS FOR ILLU ABBA BOR ZONE
Abstract
Inflation has emerged as a significant economic challenge in Ethiopia, particularly in the Illu Abba Bor Zone, where its effects are profoundly felt by households and businesses alike. This study aims to identify and analyze the key determinants of inflation in this region using regression models. Data was collected from various sources, including government reports, economic databases, and household surveys, covering a range of variables such as money supply, consumer price index (CPI), agricultural output, exchange rates, and external economic factors.
The regression analysis revealed that several factors significantly influence inflation in Illu Abba Bor Zone. Notably, an increase in money supply was found to have a direct correlation with rising inflation rates, underscoring the impact of monetary policy in the region. Additionally, fluctuations in agricultural output emerged as critical determinants, highlighting the vulnerability of the local economy to agricultural productivity and climatic conditions. The study also identified the exchange rate and global commodity prices as significant external factors influencing inflationary trends.
The findings of this research provide valuable insights for policymakers and economic stakeholders, emphasizing the need for targeted economic interventions and sound monetary policies to mitigate inflationary pressures. By understanding the dynamics of inflation drivers specific to Illu Abba Bor Zone, this study contributes to the broader discourse on economic stability and sustainable development in Ethiopia. Future research should explore the long-term effects of these determinants on inflation and consider additional qualitative factors that may influence the region's economic landscape.
Keywords
References
How to Cite
Most read articles by the same author(s)
- Dr. Oscar Villareal, REIMAGINING CLOUD DATA WAREHOUSING THROUGH SERVERLESS ORCHESTRATION: A REDSHIFT-CENTRIC FRAMEWORK FOR ELASTIC, COST-OPTIMIZED ANALYTICS , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Johnathan Meyer, Optimizing Reliability in Financial Site Reliability Engineering through Advanced Error Budgeting Frameworks , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Dr. Michael R. Hoffman, Cloud Deployed Ensemble Deep Learning Architectures for Predictive Modeling of Cryptocurrency Market Dynamics , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Prof. Miranda K. Halloway, An Integrated Model for Enhancing Strategic Flexibility and Advisory-Driven Change in SMEs , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Nathaniel P. Brooks, A Socio-Technical Examination of Agentic AI Orchestration in Composable Enterprise Systems , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Oliver Reinhardt, Adaptive Security and Modernization Strategies in Enterprise Java Applications: A Comparative Analysis of Legacy and Contemporary Authentication Frameworks , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Prof. Alexei Kuznetsov, Enterprise Data Warehousing In The Cloud Era: Strategies For Scalability, Analytics, And Bi Optimizationics , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
Similar Articles
- Musaxonov Rustam Musaxon o‘g‘li, The Impact Of Digital Technologies On Improving Competitive Strategies , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Joni Oja Nordhausen, UNRAVELING INDEPENDENT COMPONENT ANALYSIS FOR TENSOR-VALUED DATA , Global Multidisciplinary Journal: Vol. 2 No. 03 (2023): Volume 02 Issue 03
- Hui Zhang, A FRAMEWORK FOR FUNCTIONAL PARTIALLY LINEAR SINGLE-INDEX MODELS: FORMULATION AND ANALYSIS , Global Multidisciplinary Journal: Vol. 2 No. 04 (2023): Volume 02 Issue 04
- Alexander P. Hofmann, Intelligent Governance Architectures for Regulated Digital States: Integrating Compliance, Risk, and Cybersecurity through Artificial Intelligence and Internet of Things Enabled Public Services , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Dr. Lukas Heinrich, Integrative Traffic Intelligence for Dynamic Vehicle Rerouting and Driver Monitoring: A Multilayered Systems Perspective on Congestion Mitigation and Adaptive Urban Mobility , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Jeremy S. Blackford, HIPAA as Executable Governance in Cloud Based Clinical Machine Learning Pipelines A Socio Technical and Regulatory Analysis of Automated Auditability and Privacy Preservation , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Silas J. Merton, Integrating Artificial Intelligence and Real Time Data Processing in FinTech Credit Scoring Systems for Financial Inclusion and Risk Governance in Emerging Digital Economies , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Prof. Miranda K. Halloway, An Integrated Model for Enhancing Strategic Flexibility and Advisory-Driven Change in SMEs , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Gennarik L. Mortenkov, Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Elena Marquez, Real-Time Stream Intelligence For Financial Risk Management: Integrating Event Stream Processing, Lakehouse Architectures, And Privacy-Preserving Analytics , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
You may also start an advanced similarity search for this article.