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The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis

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  • Gábor Pellényi

    (Magyar Nemzeti Bank (central bank of Hungary))

Abstract

This paper uses a structural factor model to analyze sectoral heterogeneity in the impact of monetary policy in Hungary. Monetary shocks are identified with sign restrictions. The impulse responses of aggregate variables are similar to the findings of previous VAR based studies. The sectoral responses reveal considerable heterogeneity. In particular, sectors more reliant on external finance show larger output responses, while healthier corporate balance sheets imply weaker price responses. These results suggest that the credit channel of monetary transmission is operating in Hungary as well. In addition, there appears some role for the interest sensitivity of demand and price rigidities in explaining the heterogeneity of sectoral responses.

Suggested Citation

  • Gábor Pellényi, 2012. "The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis," MNB Working Papers 2012/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    • Handle: RePEc:mnb:wpaper:2012/1
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    References listed on IDEAS

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    1. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    2. 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.
    3. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    4. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic Factor Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 3, pages 25-40, Springer.
    5. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
    6. Vonnák Balázs, 2010. "Risk Premium Shocks, Monetary Policy and Exchange Rate Pass-Through in the Czech Republic, Hungary and Poland," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 28(61), pages 306-351, August.
    7. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
    8. Sandra Eickmeier, 2009. "Comovements and heterogeneity in the euro area analyzed in a non-stationary dynamic factor model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 933-959.
    9. Ágnes Horváth & Zoltán M. Jakab & Gábor P. Kiss & Balázs Párkányi, 2006. "Myths and Maths: Macroeconomic Effects of Fiscal Adjustments in Hungary," MNB Occasional Papers 2006/52, Magyar Nemzeti Bank (Central Bank of Hungary).
    10. Alexei Onatski, 2009. "Testing Hypotheses About the Number of Factors in Large Factor Models," Econometrica, Econometric Society, vol. 77(5), pages 1447-1479, September.
    11. Gert Peersman & Frank Smets, 2005. "The Industry Effects of Monetary Policy in the Euro Area," Economic Journal, Royal Economic Society, vol. 115(503), pages 319-342, April.
    12. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009. "Opening The Black Box: Structural Factor Models With Large Cross Sections," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1319-1347, October.
    13. Zoltán M. Jakab & Viktor Várpalotai & Balázs Vonnák, 2006. "How does monetary policy affect aggregate demand? A multimodel approach for Hungary," MNB Working Papers 2006/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    14. Joe Ganley & Chris Salmon, 1997. "The Industrial Impact of Monetary Policy Shocks: Some Stylised Facts," Bank of England working papers 68, Bank of England.
    15. Eugenio Gaiotti & Alessandro Secchi, 2004. "Is there a cost channel of monetary policy transmission? An investigation into the pricing behaviour of 2,000 firms," Temi di discussione (Economic working papers) 525, Bank of Italy, Economic Research and International Relations Area.
    16. Hahn, Elke, 2007. "The impact of exchange rate shocks on sectoral activity and prices in the euro area," Working Paper Series 796, European Central Bank.
    17. Hallin, Marc & Liska, Roman, 2007. "Determining the Number of Factors in the General Dynamic Factor Model," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 603-617, June.
    18. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    19. Hayo, Bernd & Uhlenbrock, Birgit, 1999. "Industry effects of monetary policy in Germany," ZEI Working Papers B 14-1999, University of Bonn, ZEI - Center for European Integration Studies.
    20. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    21. Zoltán Reppa, 2009. "A joint macroeconomic-yield curve model for Hungary," MNB Working Papers 2009/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    22. Alexei Onatski, 2010. "Determining the Number of Factors from Empirical Distribution of Eigenvalues," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1004-1016, November.
    23. Forni, Mario & Gambetti, Luca, 2010. "The dynamic effects of monetary policy: A structural factor model approach," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 203-216, March.
    24. Zoltán M. Jakab & Éva Kaponya, 2010. "A Structural Vector Autoregressive (SVAR) model for the Hungarian labour market," MNB Working Papers 2010/11, Magyar Nemzeti Bank (Central Bank of Hungary).
    25. Eickmeier, Sandra & Breitung, Jorg, 2006. "How synchronized are new EU member states with the euro area? Evidence from a structural factor model," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 538-563, September.
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    Cited by:

    1. De Simone, Francisco Nadal, 2024. "The transmission of U.S. monetary policy to small open economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
    2. Fakhri Issaoui & Talel Boufateh & Mourad Guesmi, 2015. "Money Neutrality: Rethinking the Myth," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(3), pages 287-320, June.
    3. Kabundi, Alain & De Simone, Francisco Nadal, 2022. "Euro area banking and monetary policy shocks in the QE era," Journal of Financial Stability, Elsevier, vol. 63(C).
    4. Nandini Sengupta, 2014. "Sectoral Effects of Monetary Policy in India," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(1), pages 127-154, June.
    5. Singh, Sunny Kumar & Rao, D. Tripati, 2014. "Sectoral effects of monetary policy shock: evidence from India," MPRA Paper 62069, University Library of Munich, Germany.
    6. Pellényi, Gábor, 2012. "A monetáris politika hatása a magyar gazdaságra. Elemzés strukturális, dinamikus faktormodellel [The sectoral effects of monetary policy in Hungary: a structural factor]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 263-284.
    7. Kabundi, Alain & De Simone, Francisco Nadal, 2020. "Monetary policy and systemic risk-taking in the euro area banking sector," Economic Modelling, Elsevier, vol. 91(C), pages 736-758.
    8. repec:prg:jnlpep:v:2015:y:2015:i:5:id:513:p:1-22 is not listed on IDEAS
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    More about this item

    Keywords

    structural factor model; monetary policy; credit channel; sectoral heterogeneity;
    All these keywords.

    JEL classification:

    • 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
    • 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

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