IDEAS home Printed from https://ideas.repec.org/a/fau/aucocz/au2010_139.html
   My bibliography  Save this article

Monetary Policy Transmission in Italy: A BVAR Analysis with Sign Restriction

Author

Abstract

In this paper, we propose a Bayesian VAR model to examine the short term effects of monetary policy shocks on the Italian economy. Firstly, our BVAR model uses the Cholesky decomposition to identify four kinds of macroeconomic shocks, namely, supply, demand, interest rate and monetary shocks. Then, from the theoretical model, we derive and impose a minimum set of robust sign restrictions to identify the transmission mechanism of monetary tightening. The outcomes from the sign identification confirm the micro evidence on inflation persistence. Moreover, our results show a greater persistence of inflation to monetary restriction than Cholesky identification presents. Overall, we find that a monetary innovation brings a decline of 30 basis point of GDP, this result is almost invariant across both prior and identification technique.

Suggested Citation

  • Carlo Migliardo, 2010. "Monetary Policy Transmission in Italy: A BVAR Analysis with Sign Restriction," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(2), pages 139-167, June.
    • Handle: RePEc:fau:aucocz:au2010_139
    as

    Download full text from publisher

    File URL: http://auco.cuni.cz/mag/article/download/id/86/type/attachment
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rafiq, M.S. & Mallick, S.K., 2008. "The effect of monetary policy on output in EMU3: A sign restriction approach," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1756-1791, December.
    2. Giuseppe De Arcangelis & Giorgio Di Giorgio, 1999. "Monetary policy shocks and transmission in Italy: A VAR analysis," Economics Working Papers 446, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Bagliano, Fabio C. & Favero, Carlo A., 1999. "Information from financial markets and VAR measures of monetary policy," European Economic Review, Elsevier, vol. 43(4-6), pages 825-837, April.
    4. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    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. Spulbăr Cristi & Niţoi Mihai, 2013. "Monetary Policy Transmission Mechanism in Romania Over the Period 2001 to 2012: A Bvar Analysis," Scientific Annals of Economics and Business, Sciendo, vol. 60(2), pages 1-12, December.
    2. Gerti Shijaku, 2015. "The Macroeconomic Pass-through Effects of Monetary Policy through Sign Restrictions Approach: In the Case of Albania," IHEID Working Papers 11-2015, Economics Section, The Graduate Institute of International Studies.
    3. João Tovar Jalles, 2019. "Monetary Aggregates and Macroeconomic Performance: The Portuguese Escudo, 1911–1999," International Economic Journal, Taylor & Francis Journals, vol. 33(4), pages 719-740, October.
    4. Pavel Vidal & Gilberto Ramírez & Lya Paola Sierra, 2018. "¿Por qué el Valle del Cauca ha crecido más que el promedio nacional? Un análisis regional de los ciclos y los choques económicos," Working Papers 33, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.
    5. Rossi, Jose Luiz & Delmondes de Carvalho Rossi, Marina & Carvalho Cunha, Daniel, 2019. "Transmission of monetary policy through the wealth channel in Brazil: Does the type of asset matter?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 279-293.
    6. Francisco J. S. Rocha & Marcos R. V. Magalhaes & Ã tila Amaral Brilhante, 2022. "A BVAR Analysis on Channels of Monetary Policy Transmission in Brazil," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(3), pages 1-19, February.
    7. Dedu, Vasile & Stoica, Tiberiu, 2014. "The Impact of Monetaru Policy on the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 71-86, June.
    8. Baharudin, Azfar Hilmi, 2018. "A Bayesian Vector Autoregressive Analysis of Price and Industrial Shocks on the Malaysian Economy," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 191-204.
    9. Margarit Monica-Ionelia, 2022. "Using The Bayesian Var In Monetary Policy Analysis: A Literature Review," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 212-216, February.
    10. Bhattacharya, Rudrani & Tripathi, Shruti & Chowdhury, Sahana Roy, 2019. "Financial structure, institutional quality and monetary policy transmission: A Meta-Analysis," Working Papers 19/274, National Institute of Public Finance and Policy.

    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. Tomas Havranek & Marek Rusnak, 2013. "Transmission Lags of Monetary Policy: A Meta-Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 9(4), pages 39-76, December.
    2. Torój, Andrzej, 2017. "Managing external macroeconomic imbalances in the EU: the welfare cost of scoreboard-based constraints," Economic Modelling, Elsevier, vol. 61(C), pages 293-311.
    3. Conti, Antonio M., 2021. "Resurrecting the Phillips Curve in Low-Inflation Times," Economic Modelling, Elsevier, vol. 96(C), pages 172-195.
    4. Hur, Joonyoung, 2021. "Labor income share and economic fluctuations: A sign-restricted VAR approach," Economic Modelling, Elsevier, vol. 102(C).
    5. Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
    6. Oguz Atuk & Cem Aysoy & Mustafa Utku Ozmen & Cagri Sarikaya, 2014. "Turkiye�de Enflasyonun Is Cevrimlerine Duyarliligi : Cikti Acigina Duyarli TUFE Alt Gruplarinin Saptanmasi," Working Papers 1437, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    7. Martin Cerisola & Gaston Gelos, 2009. "What drives inflation expectations in Brazil? An empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 41(10), pages 1215-1227.
    8. Anastasios Evgenidis & Stephanos Papadamou, 2021. "The impact of unconventional monetary policy in the euro area. Structural and scenario analysis from a Bayesian VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5684-5703, October.
    9. Ireland, Peter N., 2003. "Endogenous money or sticky prices?," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1623-1648, November.
    10. Esanov, Akram & Merkl, Christian & Vinhas de Souza, Lucio, 2005. "Monetary policy rules for Russia," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 484-499, September.
    11. Javier Andrés & Pablo Burriel & Ángel Estrada, 2006. "BEMOD: a DSGE model for the Spanish economy and the rest of the Euro area," Working Papers 0631, Banco de España.
    12. Joseph P. Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2013. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 913-932, August.
    13. An, Lian & Kim, Gil & Ren, Xiaomei, 2014. "Is devaluation expansionary or contractionary: Evidence based on vector autoregression with sign restrictions," Journal of Asian Economics, Elsevier, vol. 34(C), pages 27-41.
    14. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    15. Sheedy, Kevin D., 2010. "Intrinsic inflation persistence," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1049-1061, November.
    16. Kamel Helali & Thouraya Boujelbene Dammak, 2019. "Examining the Role of Structural Change in a Phillips Curve: Bivariate GARCH DCC Analysis," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 385-393, September.
    17. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    18. Ellison, Martin, 2006. "The learning cost of interest rate reversals," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1895-1907, November.
    19. Jan Babecký & Fabrizio Coricelli & Roman Horváth, 2009. "Assessing Inflation Persistence: Micro Evidence on an Inflation Targeting Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(2), pages 102-127, June.
    20. Jaromir Benes & David Vavra, 2004. "Eigenvalue Decomposition of Time Series with Application to the Czech Business Cycle," Working Papers 2004/08, Czech National Bank.

    More about this item

    Keywords

    Bayesian VAR methods; conjugate prior; Litterman prior; Markov chain Monte Carlo; monetary policy; regime switching; sign restriction identification;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:fau:aucocz:au2010_139. 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: Lenka Stastna (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.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.