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An estimated DSGE model of the Hungarian economy

Author

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  • Zoltán M. Jakab

    (Magyar Nemzeti Bank)

  • Balázs Világi

    (Magyar Nemzeti Bank)

Abstract

This paper presents and estimates a dynamic stochastic general equilibrium (DSGE) small-open-economy model for the Hungarian economy. The model features different types of frictions, real and nominal rigidities which are necessary to replicate the empirical persistence of Hungarian data. Bayesian methods are applied, and the structural break due to changing monetary regime over the studied period is explicitly taken into account in the estimation procedure. A real-time adaptive learning mechanism describes agents’ perception on underlying inflation. This creates an additional inertia in inflation. We describe the properties of the estimated model by impulse-response analysis, variance decomposition and the analysis of identified structural shocks. Our results are compared with that of estimated euro-area DSGE models, and estimated non-DSGE models of the Hungarian economy. As a robustness check, a model without real time adaptive learning is also estimated and it’s results are also compared to those of the original model.

Suggested Citation

  • Zoltán M. Jakab & Balázs Világi, 2008. "An estimated DSGE model of the Hungarian economy," MNB Working Papers 2008/9, Magyar Nemzeti Bank (Central Bank of Hungary).
    • Handle: RePEc:mnb:wpaper:2008/9
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    References listed on IDEAS

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    1. McCallum, Bennett T & Nelson, Edward, 2000. "Monetary Policy for an Open Economy: An Alternative Framework with Optimizing Agents and Sticky Prices," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 16(4), pages 74-91, Winter.
    2. Schmitt-Grohe, Stephanie & Uribe, Martin, 2003. "Closing small open economy models," Journal of International Economics, Elsevier, vol. 61(1), pages 163-185, October.
    3. Pau Rabanal & Juan Rubio-Ramírez, 2008. "Comparing new Keynesian models in the Euro area: a Bayesian approach," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(1), pages 23-40, March.
    4. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    5. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    6. Szilárd Benk & Zoltán M. Jakab & Gábor Vadas, 2005. "Potential Output Estimations for Hungary: A Survey of Different Approaches," MNB Occasional Papers 2005/43, Magyar Nemzeti Bank (Central Bank of Hungary).
    7. Taylor, John B., 2000. "Low inflation, pass-through, and the pricing power of firms," European Economic Review, Elsevier, vol. 44(7), pages 1389-1408, June.
    8. Jordi Galí & J. David López-Salido & Javier Vallés, 2007. "Understanding the Effects of Government Spending on Consumption," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 227-270, March.
    9. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    10. 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).
    11. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    12. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    13. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
    14. Szilárd Benk & Zoltán M. Jakab & Mihály András Kovács & Balázs Párkányi & Zoltán Reppa & Gábor Vadas, 2006. "The Hungarian Quarterly Projection Model (NEM)," MNB Occasional Papers 2006/60, Magyar Nemzeti Bank (Central Bank of Hungary).
    15. Hidi, János, 2006. "A magyar monetáris politikai reakciófüggvény becslése [Estimating the reaction function for Hungarian monetary policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1178-1199.
    16. Yun, Tack, 1996. "Nominal price rigidity, money supply endogeneity, and business cycles," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 345-370, April.
    17. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    18. Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979.
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    Cited by:

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    2. van Wijnbergen, Sweder & Jakucionyte, Egle, 2017. "Debt Overhang, Exchange Rates and the Macroeconomics of Carry Trade," CEPR Discussion Papers 11788, C.E.P.R. Discussion Papers.
    3. Takyi, Paul Owusu & Leon-Gonzalez, Roberto, 2020. "Macroeconomic impact of fiscal policy in Ghana: Analysis of an estimated DSGE model with financial exclusion," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 239-260.
    4. Katalin Szilágyi & Dániel Baksa & Jaromir Benes & Ágnes Horváth & Csaba Köber & Gábor D. Soós, 2013. "The Hungarian Monetary Policy Model," MNB Working Papers 2013/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    5. Ms. Adina Popescu & Ms. Alina Carare, 2011. "Monetary Policy and Risk-Premium Shocks in Hungary: Results from a Large Bayesian VAR," IMF Working Papers 2011/259, International Monetary Fund.
    6. Frömmel, Michael & Garabedian, Garo & Schobert, Franziska, 2011. "Monetary policy rules in Central and Eastern European Countries: Does the exchange rate matter?," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 807-818.
    7. Kónya, István & Benczúr, Péter, 2013. "Kamatfelár, hitelválság és mérlegalkalmazkodás egy kis, nyitott gazdaságban [Interest premium, credit crisis and balance-sheet adjustment in a small open economy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 940-964.
    8. László Békési & Csaba Köber & Henrik Kucsera & Tímea Várnai & Balázs Világi, 2016. "The macroeconomic forecasting model of the MNB," MNB Working Papers 2016/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    9. Kónya, István & Jakab M., Zoltán, 2012. "Munkapiaci súrlódások DSGE modellekben [Labour market frictions in DSGE models]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 933-962.
    10. Igor Vetlov & Ricardo Mourinho Félix & Laure Frey & Tibor Hlédik & Zoltán Jakab & Niki Papadopoulou & Lukas Reiss & Martin Schneider, 2010. "The Implementation of Scenarios Using DSGE Models," Bank of Lithuania Working Paper Series 8, Bank of Lithuania.
    11. Ana-Maria SÃNDICÃ, 2015. "The Role of Monetary and Fiscal Policies in Ensuring Macroeconomic Stability in Romania," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(1), pages 110-124, June.
    12. Egle Jakucionyte & Sweder van Wijnbergen, 2022. "The macroeconomics of carry trade gone wrong: Corporate and consumer losses in Emerging Europe," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(4), pages 773-812, October.
    13. Kónya, István & Baksa, Dániel, 2017. "Növekedés és pénzügyi környezet [Growth and the financial environment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 349-376.
    14. Serbanoiu, Georgian Valentin, 2012. "Transmission of fiscal policy shocks into Romania's economy," MPRA Paper 40947, University Library of Munich, Germany.
    15. Zuzana Mucka & Michal Horvath, 2015. "Fiscal Policy Matters A New DSGE Model for Slovakia," Discussion Papers Discussion Paper No. 1/20, Council for Budget Responsibility.
    16. Peter Benczur & Istvan Konya, 2016. "Interest Premium, Sudden Stop, and Adjustment in a Small Open Economy," Eastern European Economics, Taylor & Francis Journals, vol. 54(4), pages 271-295, July.
    17. Igor Vetlov & Tibor Hlédik & Magnus Jonsson & Henrik Kucsera & Massimiliano Pisani, 2011. "Potential Output in DSGE Models," Bank of Lithuania Working Paper Series 9, Bank of Lithuania.
    18. Tamás Sebestyén, 2011. "Hálózati struktúra és egyensúly: a tudás-áramlás szerkezeti jellemzőinek kérdései," UPFBE Working Paper Series 2011/5, Faculty of Business and Economics, University Pécs.

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    More about this item

    Keywords

    New Keynesian models; DSGE models; small open economy; Bayesian econometrics.;
    All these keywords.

    JEL classification:

    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

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