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Modelling loans and deposits during electoral years in Romania

Author

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  • Nicolae-Marius JULA

    (University Lecturer, PhD - Nicolae Titulescu University, Bucharest, Romania)

Abstract

This paper analyzes the effect of electoral years on loans and deposits for population in Romania. Using monthly data regarding the total loans and deposits, we identify the significance of the electoral timing on population ́s behavior regarding financial decisions. We estimate that there are small changes in population ́s affinity for increase in the indebtedness or for savings. We use dummy variables for electoral periods, and when these are econometrically significant there is an evidence of the influence of the electoral timings in population ́s financial decisions.

Suggested Citation

  • Nicolae-Marius JULA, 2015. "Modelling loans and deposits during electoral years in Romania," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 43-48, June.
    • Handle: RePEc:ntu:ntcmss:vol3-iss1-15-043
    as

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    References listed on IDEAS

    as
    1. Mayumi, Kozo & Giampietro, Mario, 2010. "Dimensions and logarithmic function in economics: A short critical analysis," Ecological Economics, Elsevier, vol. 69(8), pages 1604-1609, June.
    2. Sapienza, Paola, 2004. "The effects of government ownership on bank lending," Journal of Financial Economics, Elsevier, vol. 72(2), pages 357-384, May.
    3. Mueller,Dennis C. (ed.), 1997. "Perspectives on Public Choice," Cambridge Books, Cambridge University Press, number 9780521553773.
    4. Fidrmuc, Jan, 2000. "Political support for reforms: Economics of voting in transition countries," European Economic Review, Elsevier, vol. 44(8), pages 1491-1513, August.
    5. Gartner, Manfred, 1994. "Democracy, elections, and macroeconomic policy: Two decades of progress," European Journal of Political Economy, Elsevier, vol. 10(1), pages 85-109, May.
    6. Franses, Ph.H.B.F. & van Oest, R.D., 2004. "On the econometrics of the Koyck model," Econometric Institute Research Papers EI 2004-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    8. Lin, Xiaochi & Zhang, Yi, 2009. "Bank ownership reform and bank performance in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 20-29, January.
    9. Asim Ijaz Khwaja & Atif Mian, 2005. "Do Lenders Favor Politically Connected Firms? Rent Provision in an Emerging Financial Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(4), pages 1371-1411.
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    More about this item

    Keywords

    electoral years; loans; deposits; econometric model; ARDL model.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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