IDEAS home Printed from
   My bibliography  Save this article

Regional Economic Voting In Romania


  • Jula, Dorin

    () (Institute for Economic Forecasting, Romanian Academy and Ecological University of Bucharest – Economic Sciences Faculty)

  • Jula, Nicolae Marius

    () (Institute for Economic Forecasting, Romanian Academy and Ecological University of Bucharest – Economic Sciences Faculty)


In the paper we examine the economic voting theory for the Romanian local elections in June, 2008. Econometrically, we demonstrate that in the regional structures the main economic variables (dynamics of the gross domestic product per capita, rate of unemployment, dynamics of the average net nominal monthly earnings, etc.) do not significantly influence the voting behaviour, so that a model based on the esponsibility hypothesis is not adequate for explaining the creation of voting preferences in the Romanian regional structures in the June 2008 elections. We also demonstrate that for the June 2008 local elections the hypothesis of partisan voting cannot be econometrically supported. As a consequence, we have conceived a political impact model. Therefore, we have tested the hypothesis of faithful voters between two consecutive electoral moments, the engine role played by the well-known leaders, and the impact of the ethnic behaviour on the electoral space of the political party.

Suggested Citation

  • Jula, Dorin & Jula, Nicolae Marius, 2009. "Regional Economic Voting In Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(1), pages 5-15, March.
  • Handle: RePEc:rjr:romjef:v:6:y:2009:i:1:p:5-15

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Dobrescu, Emilian, 2011. "Sectoral Structure and Economic Growth," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-36, September.
    2. Giovagnoli, A. & Wynn, H.P., 2008. "Stochastic orderings for discrete random variables," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2827-2835, November.
    3. Dobrescu, Emilian, 2013. "Restatement of the I-O Coefficient Stability Problem," Working Papers of Macroeconomic Modelling Seminar 132601, Institute for Economic Forecasting.
    4. Tülin Erdem, 1996. "A Dynamic Analysis of Market Structure Based on Panel Data," Marketing Science, INFORMS, vol. 15(4), pages 359-378.
    5. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," Review of Economic Studies, Oxford University Press, vol. 49(2), pages 183-201.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Dorin Jula & Nicolae-Marius Jula, 2011. "Analysis of Municipal Election Outcomes in Romania," ERSA conference papers ersa11p1256, European Regional Science Association.
    2. Jula, Dorin & Jula, Nicolae Marius, 2013. "Economic Growth and Structural Changes in Regional EmploymenT," Journal for Economic Forecasting, Institute for Economic Forecasting, pages 52-69.
    3. Nicolae Marius Jula, 2012. "Modelling Of Voting Behaviour In Romania," New Trends in Modelling and Economic Forecast (MEF 2011), ROMANIAN ACADEMY – INSTITUTE FOR ECONOMIC FORECASTING;"Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 1(1), pages 121-139, January.
    4. Nicolae-Marius JULA, 2010. "Regional Analyses Of Voting Behaviour In Romania –Local, General And Presidential Elections," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 4(2), pages 62-77, DECEMBER.

    More about this item


    Political Business Cycles; Vote Popularity Function; Partisan and/or Opportunistic Behaviour; Residuals in Regional Econometric Models;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rjr:romjef:v:6:y:2009:i:1:p:5-15. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Corina Saman). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.