ECONOMETRIC ANALYSIS OF THE EFFECTIVENESS OF PREFERENTIAL LOANS IN REDUCING POVERTY IN UZBEKISTAN AND FORECASTING FUTURE EXPECTATIONS

Authors

  • Beknazarov Begzod, Urozaliev Elyor Samarkand branch of Tashkent State University of Economics

Keywords:

Preferential loans, Poverty reduction, Uzbekistan, Econometric analysis, Vector Autoregression (VAR), Forecasting, Household income, Economic policy, Financial inclusion, Loan disbursement, Poverty rates, Statistical analysis, Data collection, Economic indicators, Policy recommendations.

Abstract

This study examines the effectiveness of preferential loans in reducing poverty in Uzbekistan through an econometric analysis. The analysis employs a Vector Autoregression (VAR) model to forecast future expectations, presenting the results with diagrams and charts. Sources of data are duly cited, and the study follows the IMRAD structure, utilizing statistical data up to 2023.

References

State Statistics Committee of Uzbekistan. (2023).

Annual Reports and Statistical Bulletins.

World Bank. (2023). Poverty and Economic Indicators.

Central Bank of Uzbekistan. (2023). Loan Disbursements and Interest Rates.

Local Surveys. (2023). Impact of Preferential Loans on Recipients.

Urozaliev, E., & Khoshimova, S. (2024). The Importance of the World Trade Organisation (WTO) and Uzbekistan’s Efforts to Join It.

Urozaliev, E., Xujamov, B., & Saydullayev, A. (2024). Opportunities for Bicycle Tourism in Zomin, Bulungur and Bakhmal Districts

Published

2024-06-13

How to Cite

Beknazarov Begzod, Urozaliev Elyor. (2024). ECONOMETRIC ANALYSIS OF THE EFFECTIVENESS OF PREFERENTIAL LOANS IN REDUCING POVERTY IN UZBEKISTAN AND FORECASTING FUTURE EXPECTATIONS. Ethiopian International Journal of Multidisciplinary Research, 11(06), 80–84. Retrieved from https://www.eijmr.org/index.php/eijmr/article/view/1710