IDEAS home Printed from https://ideas.repec.org/p/sec/cnrepo/0085.html
   My bibliography  Save this paper

Composite Leading Indicators for Ukraine: An Early Warning Model

Author

Listed:
  • Vladimir Dubrovskiy
  • Inna Golodniuk
  • Janusz Szyrmer

Abstract

The project has undertaken the following tasks: Based on an analysis of the pattern of growth of the Ukrainian economy since the end of the post-Soviet recession (the year 2000) we have formulated the hypotheses concerning the factors preceding/affecting the upturns and downturns (with a focus on the latter) of the country’s growth; We have studied international “best practice” in early warning indicators in order to design a similar system for Ukraine; We have selected the relevant indicators, consistent with our hypotheses and used a probit model in order to experiment with these indicators; The final set of indicators used in the model included the following lagged independent variables: changes in the value of export, changes in real Exchange rate of the hryvnya, producers’ price index adjusted for domestic price inflation index and the IMF’s metal price index, bank credit interest rate, changes in the industrial output of the European Union; our dependent variable (which was used as a proxy for the overall economic growth) was changes in real industrial output; The model was used to formulate a warning forecast for the Ukrainian economy for the second half of 2008 based on the data for the January 2000 – June 2008 period; all predictions for the second half of 2008 have delivered warning about a downturn of the Ukrainian economy; We ran a few additional experiments with the model, and We have recommended several further steps of analysis toward a full implementation and institutionalization of such a model in the near future.

Suggested Citation

  • Vladimir Dubrovskiy & Inna Golodniuk & Janusz Szyrmer, 2009. "Composite Leading Indicators for Ukraine: An Early Warning Model," CASE Network Reports 0085, CASE-Center for Social and Economic Research.
  • Handle: RePEc:sec:cnrepo:0085
    as

    Download full text from publisher

    File URL: http://www.case-research.eu/upload/publikacja_plik/24527666_CNR_85_final.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Bernard, Henri & Gerlach, Stefan, 1998. "Does the Term Structure Predict Recessions? The International Evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(3), pages 195-215, July.
    2. N. Valckx & M.J.K.de Ceuster & J. Annaert, 2003. "Is Financial Market Volatility Informative to Predict Recessions?," DNB Staff Reports (discontinued) 93, Netherlands Central Bank.
    3. Marcellino, Massimiliano, 2005. "Leading Indicators: What Have We Learned?," CEPR Discussion Papers 4977, C.E.P.R. Discussion Papers.
    4. 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.
    5. Marcelle Chauvet & Simon Potter, 2005. "Forecasting recessions using the yield curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 77-103.
    6. Moneta, Fabio, 2003. "Does the yield spread predict recessions in the euro area?," Working Paper Series 294, European Central Bank.
    7. Michael Dueker, 2005. "Dynamic Forecasts of Qualitative Variables: A Qual VAR Model of U.S. Recessions," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 96-104, January.
    8. North, Douglass C. & Wallis, John Joseph & Webb, Steven B. & Weingast, Barry R., 2007. "Limited access orders in the developing world :a new approach to the problems of development," Policy Research Working Paper Series 4359, The World Bank.
    9. Douglass C. North & John Joseph Wallis & Barry R. Weingast, 2006. "A Conceptual Framework for Interpreting Recorded Human History," NBER Working Papers 12795, National Bureau of Economic Research, Inc.
    10. Henri Nyberg, 2010. "Dynamic probit models and financial variables in recession forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 215-230.
    11. Michael J. Dueker, 1997. "Strengthening the case for the yield curve as a predictor of U.S. recessions," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 41-51.
    12. Everhart, Stephen S. & Duval-Hernandez, Robert, 2000. "Leading indicator project - Lithuania," Policy Research Working Paper Series 2365, The World Bank.
    13. Joannes Mongardini & Tahsin Saadi-Sedik, 2003. "Estimating Indexes of Coincident and Leading Indicators; An Application to Jordan," IMF Working Papers 03/170, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    business cycle; forecasting; econometric model; Ukraine; Ukrainian economy; economic growth; GDP; early warning indicator;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:sec:cnrepo:0085. 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: (Aleksandra Polak). General contact details of provider: http://edirc.repec.org/data/caseepl.html .

    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 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.

    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.