IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2008i3p3-29.html
   My bibliography  Save this article

Is the Bulgarian Economy Overheating?

Author

Listed:
  • Garabed Minassian

Abstract

Analyzed is the condition of the Bulgarian economy for 2008 from the point of view of arising internal stains and disbalances. In the first part studied is the dynamics of particular elements of GDP and it is shown that the economic expansion in the last decade is due to import of goods and services. The GDP increase is predetermined by internal demand. A following outrunning increase on sector level marks the component which is conditionally named “correctives” which is filled by indirect taxes. In the industrial sector fastest growth has building, and in the service sector – financial mediation. Such disharmony could not carry on in a perspective because of which possible and probable is a structural change connected to a complete adjustment of the economy. Examined are the changes in inflation, employment and taxes. Outlined is a clear positive trend of inflation pressure which corresponds to a positive dynamics of real income of a person of housekeep. Material and financial resources are frozen in non-producing objects so the internal demand increases without being accompanied structurally by opposing supply. Analyzed is the financial mediation. The credit activity of the bank system is held on a unmeasured high level that does not correspond to the structural characteristics of demand. Generalized are conclusions on the accumulation of structural tension in the economy accompanied by an increase of disbalances. An attempt is made to formulate adequate macroeconomical management influences aiming not to allow serious economic and financial unprosperities as a consequence of a certain degree of overheating in the Bulgarian economy.

Suggested Citation

  • Garabed Minassian, 2008. "Is the Bulgarian Economy Overheating?," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 3-29.
  • Handle: RePEc:bas:econth:y:2008:i:3:p:3-29
    as

    Download full text from publisher

    File URL: http://www.ceeol.com/aspx/issuedetails.aspx?issueid=511c017a-b33b-4fb1-a4e0-68b6b90cdd02&articleid=ded3ac1c-92ba-4dc7-b3fe-f8480d318845#aded3ac1c-92ba-4dc7-b3fe-f8480d318845
    Download Restriction: Fee access
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Frank Smets & Raf Wouters, 2002. "Monetary policy in an estimated stochastic dynamic general equilibrium model of the Euro area," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    2. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    3. Frank Hahn, 1985. "Money and Inflation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262580624, December.
    4. Solow,Robert M., 1998. "Monopolistic Competition and Macroeconomic Theory," Cambridge Books, Cambridge University Press, number 9780521626163, January.
    5. Patrick A. Imam, 2007. "Effect of IMF Structural Adjustment Programs on Expectations: The Case of Transition Economies," IMF Working Papers 2007/261, International Monetary Fund.
    6. Rossitsa Rangelova, 2008. "A Criticism of the Concept and Measure for Total Factor Productivity," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 30-49.
    7. Smets, Frank & Wouters, Raf, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 171, European Central Bank.
    8. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    9. Ms. Nancy L Wagner & Ms. Dora M Iakova, 2001. "Financial Sector Evolution in the Central European Economies: Challenges in Supporting Macroeconomic Stability and Sustainable Growth," IMF Working Papers 2001/141, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Alenka Kavkler & Mejra Festić, 2010. "The Trade Deficit and Banking Sector Results in Romania and Bulgaria," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 12(27), pages 199-213, February.
    2. Kalina Durova, 2018. "Long-Term Impact of the European Funds on Bulgaria's Economy," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 325-333, September.
    3. Ivan Todorov, 2016. "Supply-Side Factors of Economic Growth in Bulgaria," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 159-174, June.
    4. Goce Petreski & Darko Lazarov, 2017. "Drivers of Economic Growth: A Comparative Analysis of Macedonia and Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 3-16.
    5. Ivan Todorov, 2017. "Bulgaria’s Cyclical Position and Market (Dis)equilibria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 30-64.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stéphane Adjemian & Florian Pelgrin, 2008. "Un regard bayésien sur les modèles dynamiques de la macroéconomie," Economie & Prévision, La Documentation Française, vol. 0(2), pages 127-152.
    2. Fujiwara, Ippei, 2006. "Evaluating monetary policy when nominal interest rates are almost zero," Journal of the Japanese and International Economies, Elsevier, vol. 20(3), pages 434-453, September.
    3. Peter N. Ireland, 2004. "Technology Shocks in the New Keynesian Model," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 923-936, November.
    4. Mădălin VIZINIUC, 2015. "Assessing the impact of financial disturbances on the Romanian business cycle fluctuations," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(Special(I), pages 305-320.
    5. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non-stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
    6. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
    7. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    8. Bazhenova Olena & Bazhenova Yuliya, 2016. "Modelling the Impact of External Shocks on Economy of Ukraine: Dsge Approach," Ekonomika (Economics), Sciendo, vol. 95(1), pages 64-83, January.
    9. Hristov, Nikolay & Hülsewig, Oliver, 2017. "Unexpected loan losses and bank capital in an estimated DSGE model of the euro area," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 161-186.
    10. Daney, Valdivia & Marcelo, Montegro, 2011. "Boosting cycles and Stabilization effects of Fiscal Rules," MPRA Paper 32115, University Library of Munich, Germany.
    11. Oliver Hülsewig & Eric Mayer & Timo Wollmershäuser, 2006. "Bank Behavior and the Cost Channel of Monetary Transmission," CESifo Working Paper Series 1813, CESifo.
    12. Marc P. Giannoni & Jean Boivin, 2005. "DSGE Models in a Data-Rich Environment," Computing in Economics and Finance 2005 431, Society for Computational Economics.
    13. Jocelyn Boussard & Benoît Campagne, 2017. "Fiscal policy coordination in a monetary union at the zero lower bound," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 494-495-4, pages 65-90.
    14. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
    15. Jung, Yongseung, 2007. "Can the new open economy macroeconomic model explain exchange rate fluctuations?," Journal of International Economics, Elsevier, vol. 72(2), pages 381-408, July.
    16. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
    17. Tan, Anthony C.K. & Goh, Kim-Leng, 2009. "Financial Disintermediation in the 1990s : Implications on Monetary Policy in Malaysia," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 50(1), pages 1-27, June.
    18. Brand, Claus & Obstbaum, Meri & Coenen, Günter & Sondermann, David & Lydon, Reamonn & Ajevskis, Viktors & Hammermann, Felix & Angino, Siria & Hernborg, Nils & Basso, Henrique & Hertweck, Matthias & Bi, 2021. "Employment and the conduct of monetary policy in the euro area," Occasional Paper Series 275, European Central Bank.
    19. Milan Damjanović & Igor Masten, 2016. "Shadow short rate and monetary policy in the Euro area," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 279-298, May.
    20. Szabó-Bakos, Eszter, 2007. "Az új keynesi elvek alkalmazása a Fed, az IMF és az Európai Központi Bank modellezési gyakorlatában [Application of new Keynesian principles in the modelling practice of the Fed, the IMF and the Eu," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 415-434.

    More about this item

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    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:bas:econth:y:2008:i:3:p:3-29. See general information about how to correct material in RePEc.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.