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How far does monetary policy reach? Evidence from factor-augmented vector autoregressions for Poland

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  • Mariusz Kapuściński

    (Warsaw School of Economics)

Abstract

This study applies factor-augmented vector autoregressions to identify the effects of monetary policy shocks in a small, open, emerging market economy. It uses data on 132 variables for Poland, ‘compressing’ them to either structural (having an economic interpretation) or economically uninterpretable factors, also known as diffusion indices. The tightening of monetary policy is found to have broad, contractionary effects. Among other things, production, employment, job offers, prices, loans and stock prices decrease, unemployment and non-performing loans increase. As one of extensions, the effects of changes in global and foreign factors are investigated. Domestic prices are found to respond to global prices of commodities and foreign prices. Domestic production and interest rates – to their foreign counterparts.

Suggested Citation

  • Mariusz Kapuściński, 2018. "How far does monetary policy reach? Evidence from factor-augmented vector autoregressions for Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 49(3), pages 191-216.
  • Handle: RePEc:nbp:nbpbik:v:49:y:2018:i:3:p:191-216
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    1. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
    2. Robert Socha, 2014. "Asymetria relacji cen paliw płynnych w Polsce i cen ropy naftowej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 133-160.
    3. Szafranek, Karol, 2017. "Flattening of the New Keynesian Phillips curve: Evidence for an emerging, small open economy," Economic Modelling, Elsevier, vol. 63(C), pages 334-348.
    4. Jérôme Creel* & Sandrine Levasseur, 2007. "Monetary Policy Transmission Mechanisms in the CEECs: How Important are the Differences with the Euro Area?," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(1), pages 30-59, February.
    5. Aleksandra Halka & Grzegorz Szafranski, 2018. "What Common Factors are Driving Inflation in CEE Countries?," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(2), pages 131-148.
    6. Tomasz Lyziak & Jan Przystupa & Ewa Stanislawska & Ewa Wrbel, 2011. "Monetary Policy Transmission Disturbances During the Financial Crisis," Eastern European Economics, Taylor & Francis Journals, vol. 49(5), pages 75-96, September.
    7. Karol Szafranek & Aleksandra Hałka, 2019. "Determinants of Low Inflation in an Emerging, Small Open Economy through the Lens of Aggregated and Disaggregated Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 3094-3111, October.
    8. Alessio Anzuini & Aviram Levy, 2007. "Monetary policy shocks in the new EU members: a VAR approach," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1147-1161.
    9. DeJong, David N. & Nankervis, John C. & Savin, N. E. & Whiteman, Charles H., 1992. "The power problems of unit root test in time series with autoregressive errors," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 323-343.
    10. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    11. Liu, Philip & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2014. "The transmission of international shocks to the UK. Estimates based on a time-varying factor augmented VAR," Journal of International Money and Finance, Elsevier, vol. 46(C), pages 1-15.
    12. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
    13. Dobromił Serwa & Piotr Wdowiński, 2016. "Macro-financial linkages in the Polish economy: combined impulse-response functions in SVAR models," NBP Working Papers 246, Narodowy Bank Polski.
    14. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    15. Gavin, William T. & Kemme, David M., 2009. "Using extraneous information to analyze monetary policy in transition economies," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 868-879, September.
    16. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    17. Belviso Francesco & Milani Fabio, 2006. "Structural Factor-Augmented VARs (SFAVARs) and the Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-46, December.
    18. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    19. Victor Bystrov, 2014. "A factor-augmented model of markup on mortgage loans in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 45(6), pages 491-512.
    20. Pooyan Amir Ahmadi & Harald Uhlig, 2015. "Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks," NBER Working Papers 21738, National Bureau of Economic Research, Inc.
    21. Barakchian, S. Mahdi & Crowe, Christopher, 2013. "Monetary policy matters: Evidence from new shocks data," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 950-966.
    22. Balabanova, Zlatina & Brüggemann, Ralf, 2017. "External Information And Monetary Policy Transmission In New Eu Member States: Results From Favar Models," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 311-335, March.
    23. Gupta, Rangan & Jurgilas, Marius & Kabundi, Alain, 2010. "The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach," Economic Modelling, Elsevier, vol. 27(1), pages 315-323, January.
    24. Ewa Wrobel & Malgorzata Pawlowska, 2002. "Monetary transmission in Poland: some evidence on interest rate and credit channels," NBP Working Papers 24, Narodowy Bank Polski.
    25. repec:onb:oenbwp:y:2011:i:3:b:1 is not listed on IDEAS
    26. Konstantins Benkovskis & Andrejs Bessonovs & Martin Feldkircher & Julia Wörz, 2011. "The Transmission of Euro Area Monetary Shocks to the Czech Republic, Poland and Hungary: Evidence from a FAVAR Model," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 8-36.
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    More about this item

    Keywords

    factor analysis; vector autoregressions; factor-augmented vector autoregressions; high- -frequency identification; monetary transmission mechanism;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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