IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2018i3p83-92.html
   My bibliography  Save this article

Chances for fiscal and monetary impact on Bulgaria’s economic cycle

Author

Listed:
  • Ivan Todorov
  • Aleksander Aleksandrov

Abstract

The chances for fiscal and monetary influence on the business cycle of Bulgaria under a currency board arrangement have been analyzed. The determinants of Bulgaria’s business cycle phase and output gap from the first quarter of 2000 till the second quarter of 2017 have been identified. The effects of minimum reserve requirements, fiscal balance, government revenue, government expenditure and government debt on the business cycle phase and the output gap have been studied. Two research methods have been employed – logistic regression and ordinary least squares regression of times series data. The study results imply that all mentioned variables except for government debt have a statistically significant impact on the output gap. The business cycle phase is significantly affected by all mentioned variables with the exception of government expenditure.

Suggested Citation

  • Ivan Todorov & Aleksander Aleksandrov, 2018. "Chances for fiscal and monetary impact on Bulgaria’s economic cycle," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 83-92.
    • Handle: RePEc:bas:econth:y:2018:i:3:p:83-92
    as

    Download full text from publisher

    File URL: https://etj.iki.bas.bg/storage/app/uploads/public/629/f5f/22a/629f5f22aaadc575098093.pdf
    Download Restriction: Fee access (Bulgarian)
    ---><---

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

    References listed on IDEAS

    as
    1. Arturo Estrella & Frederic S. Mishkin, 1998. "Predicting U.S. Recessions: Financial Variables As Leading Indicators," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 45-61, February.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. Harding, Don & Pagan, Adrian, 2011. "An Econometric Analysis of Some Models for Constructed Binary Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 86-95.
    2. Arturo Estrella & Anthony P. Rodrigues, 1998. "Consistent covariance matrix estimation in probit models with autocorrelated errors," Staff Reports 39, Federal Reserve Bank of New York.
    3. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    4. Sellin, Peter, 1998. "Monetary Policy and the Stock Market: Theory and Empirical Evidence," Working Paper Series 72, Sveriges Riksbank (Central Bank of Sweden).
    5. Hibbs, Douglas A, Jr, 2000. "Bread and Peace Voting in U.S. Presidential Elections," Public Choice, Springer, vol. 104(1-2), pages 149-180, July.
    6. Todd J. BARRY, 2020. "Causes of the curve: Assessing risk in public and private financial economics," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(623), S), pages 109-130, Summer.
    7. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    8. Van Landschoot, Astrid, 2004. "Determinants of euro term structure of credit spreads," Working Paper Series 397, European Central Bank.
    9. Franck Sédillot, 2001. "La pente des taux contient-elle de l'information sur l'activité économique future ?," Economie & Prévision, La Documentation Française, vol. 147(1), pages 141-157.
    10. Chun-Chang Lee & Chih-Min Liang & Hsing-Jung Chou, 2013. "Identifying Taiwan real estate cycle turning points- An application of the multivariate Markov-switching autoregressive Model," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 3(2), pages 1-1.
    11. Kun Guo & Wei-Xing Zhou & Si-Wei Cheng & Didier Sornette, 2011. "The US Stock Market Leads the Federal Funds Rate and Treasury Bond Yields," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-9, August.
    12. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
    13. Ye, Zhen & Zhang, Fangzhu & Coffman, D’Maris & Xia, Senmao & Wang, Zhifeng & Zhu, Zhonghua, 2022. "China’s urban construction investment bond: Contextualising a financial tool for local government," Land Use Policy, Elsevier, vol. 112(C).
    14. Yongsung Chang & Sunoong Hwang, 2015. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
    15. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2010. "New Keynesian Macroeconomics and the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 33-62, February.
    16. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    17. Gupta, Rangan & Wohar, Mark, 2017. "Forecasting oil and stock returns with a Qual VAR using over 150years off data," Energy Economics, Elsevier, vol. 62(C), pages 181-186.
    18. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    19. Ana Beatriz Galvão & Amit Kara, 2020. "The Impact of GDP Data Revisions on Identifying and Predicting UK Recessions," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-12, Economic Statistics Centre of Excellence (ESCoE).
    20. Nakaota, Hiroshi & Fukuta, Yuichi, 2013. "The leading indicator property of the term spread and the monetary policy factors in Japan," Japan and the World Economy, Elsevier, vol. 28(C), pages 85-98.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy

    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:2018:i:3:p:83-92. 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.