IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2013-220.html

The Role of Domestic and External Shocks in Poland: Results from an Agnostic Estimation Procedure

Author

Listed:
  • Michal Andrle
  • Mr. Roberto Garcia-Saltos
  • Giang Ho

Abstract

This paper discusses interlinkages between Poland and the euro zone using a simple and agnostic econometric approach. Specifically, we estimate a trend-cycle VAR model using data for real and nominal variables, imposing powerful but uncontroversial assumptions that allow us to identify how external factors affect the evolution of business cycles in Poland in the period 1999-2012. Our results suggest that developments in the euro zone can explain about 50 percent of poland’s output and interest rate business cycle variance and about 25 percent of the variance of inflation.

Suggested Citation

  • Michal Andrle & Mr. Roberto Garcia-Saltos & Giang Ho, 2013. "The Role of Domestic and External Shocks in Poland: Results from an Agnostic Estimation Procedure," IMF Working Papers 2013/220, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2013/220
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=41018
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fabio Canova & Filippo Ferroni, 2011. "Multiple filtering devices for the estimation of cyclical DSGE models," Quantitative Economics, Econometric Society, vol. 2(1), pages 73-98, March.
    2. Bennett T. McCallum, 2001. "Analysis of the Monetary Transmission Mechanism: Methodological Issues," Palgrave Macmillan Books, in: Deutsche Bundesbank (ed.), The Monetary Transmission Process, chapter 1, pages 11-59, Palgrave Macmillan.
    3. Igor Ermolaev & Michel Juillard & Ioan Carabenciov & Charles Freedman & Mr. Douglas Laxton & Mr. Ondrej Kamenik & Dmitry Korshunov, 2008. "A Small Quarterly Projection Model of the US Economy," IMF Working Papers 2008/278, International Monetary Fund.
    4. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    5. Marek Jarocinski, 2010. "Responses to monetary policy shocks in the east and the west of Europe: a comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 833-868.
    6. Horvath Roman & Rusnak Marek, 2009. "How Important Are Foreign Shocks in a Small Open Economy? The Case of Slovakia," Global Economy Journal, De Gruyter, vol. 9(1), pages 1-17, March.
    7. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    8. Grzegorz Grabek & Bohdan Klos & Grzegorz Koloch, 2011. "SOEPL 2009 – An Estimated Dynamic Stochastic General Equilibrium Model for Policy Analysis And Forecasting," NBP Working Papers 83, Narodowy Bank Polski.
    9. Tomasz Łyziak & Oksana Demchuk & Jan Przystupa & Anna Sznajderska & Ewa Wróbel, 2012. "Monetary policy transmission mechanism in Poland. What do we know in 2011?," NBP Working Papers 116, Narodowy Bank Polski.
    10. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    11. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    12. Cushman, David O. & Zha, Tao, 1997. "Identifying monetary policy in a small open economy under flexible exchange rates," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 433-448, August.
    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. Michal Andrle & Mr. Roberto Garcia-Saltos & Giang Ho, 2014. "A Model-Based Analysis of Spillovers: The Case of Poland and the Euro Area," IMF Working Papers 2014/186, International Monetary Fund.
    2. S. S. Abere & T. O. Akinbobola, 2020. "External Shocks, Institutional Quality, and Macroeconomic Performance in Nigeria," SAGE Open, , vol. 10(2), pages 21582440209, May.
    3. Magdalena Grothe, 2023. "Monetary Policy Spillovers to Polish Financial Markets," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 1-10.
    4. Lahiri, Kajal & Zhao, Yongchen, 2019. "International propagation of shocks: A dynamic factor model using survey forecasts," International Journal of Forecasting, Elsevier, vol. 35(3), pages 929-947.
    5. Mr. Serhat Solmaz & Marzie Taheri Sanjani, 2015. "How External Factors Affect Domestic Economy: Nowcasting an Emerging Market," IMF Working Papers 2015/269, International Monetary Fund.
    6. Raju Huidrom & M. Ayhan Kose & Hideaki Matsuoka & Franziska L. Ohnsorge, 2020. "How important are spillovers from major emerging markets?," International Finance, Wiley Blackwell, vol. 23(1), pages 47-63, March.
    7. Sekar Utami Setiastuti, 2017. "Time-Varying Macroeconomic Impacts Of Global Economic Policy Uncertainty To A Small Open Economy: Evidence From Indonesia," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 20(2), pages 129-148, October.
    8. Grothe, Magdalena, . "Wpływ zagranicznej polityki pieniężnej na rynki finansowe w Polsce," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2023(2).
    9. George ANTON, 2022. "The importance of demand, uncertainty and monetary policy shocks from the euro area for the Romanian economy," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 25-38, Summer.

    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. Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016. "The BEAR toolbox," Working Paper Series 1934, European Central Bank.
    2. Tomasz Woźniak, 2016. "Bayesian Vector Autoregressions," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(3), pages 365-380, September.
    3. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    4. Auer, Simone, 2019. "Monetary policy shocks and foreign investment income: Evidence from a large Bayesian VAR," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 142-166.
    5. Andrew Haldane & Matt Roberts-Sklar & Tomasz Wieladek & Chris Young, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    6. Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
    7. Andres–Escayola, Erik & Berganza, Juan Carlos & Campos, Rodolfo G. & Molina, Luis, 2023. "A BVAR toolkit to assess macrofinancial risks in Brazil and Mexico," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    8. Bahaj, Saleem A., 2014. "Systemic sovereign risk: macroeconomic implications in the euro area," LSE Research Online Documents on Economics 58110, London School of Economics and Political Science, LSE Library.
    9. James Morley & Benjamin Wong, 2020. "Estimating and accounting for the output gap with large Bayesian vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 1-18, January.
    10. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    11. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series) 1617, Federal Reserve Bank of Cleveland.
    12. Damian Stelmasiak & Grzegorz Szafrański, 2016. "Forecasting the Polish Inflation Using Bayesian VAR Models with Seasonality," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 21-42, March.
    13. Will Dison & Konstantinos Theodoridis, 2017. "Do macro shocks matter for equities?," Bank of England working papers 692, Bank of England.
    14. Tomasz Wozniak, 2016. "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series 2021, The University of Melbourne.
    15. Anttonen, Jetro, 2018. "Nowcasting the Unemployment Rate in the EU with Seasonal BVAR and Google Search Data," ETLA Working Papers 62, The Research Institute of the Finnish Economy.
    16. Florian Huber & Tamás Krisztin & Philipp Piribauer, 2017. "Forecasting Global Equity Indices Using Large Bayesian Vars," Bulletin of Economic Research, Wiley Blackwell, vol. 69(3), pages 288-308, July.
    17. Gondo, Rocío & Pérez, Fernando, 2018. "The Transmission of Exogenous Commodity and Oil Prices shocks to Latin America - A Panel VAR approach," Working Papers 2018-012, Banco Central de Reserva del Perú.
    18. Fabian Fink & Yves S. Schüler, 2013. "The Transmission of US Financial Stress: Evidence for Emerging Market Economies," Working Paper Series of the Department of Economics, University of Konstanz 2013-01, Department of Economics, University of Konstanz.
    19. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, July.
    20. Jarociński, Marek & Marcet, Albert, 2019. "Priors about observables in vector autoregressions," Journal of Econometrics, Elsevier, vol. 209(2), pages 238-255.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:imf:imfwpa:2013/220. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.