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

Cezar Catalin Ene ()
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Cezar Catalin Ene: University of Craiova, "Eugeniu Carada" Doctoral School of Economic Sciences, Romania

Ovidius University Annals, Economic Sciences Series, 2023, vol. XXIII, issue 2, 694-699

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.

Keywords: multiple regression analysis; non-governmental credit; macroeconomic indicators; Central and Eastern Europe; global economic turbulences (search for similar items in EconPapers)
JEL-codes: C51 E44 F34 G01 P34 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:xxiii:y:2023:i:2:p:694-699

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