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Econometric Insights into Non-Governmental Credit Fluctuations: A Case Study of Romania

Author

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  • Cezar Catalin Ene

    (University of Craiova, "Eugeniu Carada" Doctoral School of Economic Sciences, Romania)

Abstract

In this scientific paper, we will conduct a multiple regression analysis using the nongovernmental credit (NGC) as the dependent variable and the inflation rate, unemployment rate and the M2 – money supply as independent variables, over a ten-year period, specifically the period of 2013-2022. The study was conducted analyzing the macroeconomic data of Romania and the purpose of this paper is to perform multiple regression analysis method to determine how turbulences such as the pandemic crisis, the Russian-Ukrainian war, and the energy crisis, have impacted the nongovernmental lending activity and to find whether there is a significant association as determining factors (a correlation) between the mentioned variables.

Suggested Citation

  • Cezar Catalin Ene, 2023. "Econometric Insights into Non-Governmental Credit Fluctuations: A Case Study of Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 694-699, December.
    • Handle: RePEc:ovi:oviste:v:xxiii:y:2023:i:2:p:694-699
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    More about this item

    Keywords

    multiple regression analysis; non-governmental credit; macroeconomic indicators; Central and Eastern Europe; global economic turbulences;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • G01 - Financial Economics - - General - - - Financial Crises
    • P34 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Finance

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