IDEAS home Printed from https://ideas.repec.org/p/ice/wpaper/wp88.html
   My bibliography  Save this paper

Analysing inflation dynamics in Iceland using a Bayesian structural vector autoregression model

Author

Listed:
  • Stefán Thórarinsson

Abstract

This paper seeks to determine what drives inflation variation in Iceland and examine the extent to which local currency pricing is present. To that end we define and estimate a Bayesian structural vector autoregression model. For identification we employ the method developed by Baumeister and Hamilton (2015), defining priors on the impact matrix and on the long run behaviour of the model. We find that supply shocks and exchange rate shocks are the largest contributors in short run dynamics of inflation while foreign shocks dominate the medium and long run horizons. Our results strongly suggest that local currency pricing is largely absent. A test of robustness suggests that our results w.r.t. foreign influences on domestic inflation hold. Whether foreign demand or foreign inflation plays a larger role in determining long horizon variation in inflation seems to vary considerably over the period considered.

Suggested Citation

  • Stefán Thórarinsson, 2022. "Analysing inflation dynamics in Iceland using a Bayesian structural vector autoregression model," Economics wp88, Department of Economics, Central bank of Iceland.
  • Handle: RePEc:ice:wpaper:wp88
    as

    Download full text from publisher

    File URL: https://www.sedlabanki.is/library/Skraarsafn---EN/Working-Papers/Working_paper_no_88_CBI.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    2. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
    3. James H. Stock & Mark W. Watson, 2017. "Twenty Years of Time Series Econometrics in Ten Pictures," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 59-86, Spring.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Jordi Galí & Tommaso Monacelli, 2005. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 707-734.
    6. Breedon, Francis & Pétursson, Thórarinn G. & Vitale, Paolo, 2023. "The currency that came in from the cold: Capital controls and the information content of order flow," Journal of International Money and Finance, Elsevier, vol. 138(C).
    7. Matheson, Troy D., 2008. "Phillips curve forecasting in a small open economy," Economics Letters, Elsevier, vol. 98(2), pages 161-166, February.
    8. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    9. Már Guðmundsson & Thórarinn G. Pétursson & Arnór Sighvatsson, 2000. "Optimal Exchange Rate Policy: The Case of Iceland," Economics wp08, Department of Economics, Central bank of Iceland.
    10. Petursson, Thorarinn G, 1998. "Price Determination and Rational Expectations," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(2), pages 157-167, April.
    Full references (including those not matched with items on IDEAS)

    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. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October.
    2. Leeper, Eric M. & Zha, Tao, 2003. "Modest policy interventions," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1673-1700, November.
    3. Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
    4. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022. "Nowcasting with large Bayesian vector autoregressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
    5. Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
    6. Caglayan, Mustafa & Jehan, Zainab & Mouratidis, Kostas, 2012. "Asymmetric monetary policy rules for open economies: Evidence from four countries," MPRA Paper 37401, University Library of Munich, Germany.
    7. Latsos Sophia, 2018. "Real Wage Effects of Japan’s Monetary Policy," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 69(1), pages 177-215, July.
    8. Oscar Jorda, 2003. "Model-Free Impulse Responses," Working Papers 305, University of California, Davis, Department of Economics.
    9. Jakub Mateju, 2013. "Explaining the Strength and the Efficiency of Monetary Policy Transmission: A Panel of Impulse Responses from a Time-Varying Parameter Model," Working Papers IES 2013/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2013.
    10. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.
    11. Ioannis Litsios & Keith Pilbeam & Dimitrios Asteriou, 2021. "DSGE modelling for the UK economy 1974–2017," Bulletin of Economic Research, Wiley Blackwell, vol. 73(2), pages 295-323, April.
    12. Luis-Felipe Zanna & Marco Airaudo, 2005. "Learning about which measure of inflation to target," Computing in Economics and Finance 2005 176, Society for Computational Economics.
    13. Andreas Beyer & Roger E.A. Farmer, 2005. "Measuring the Effects of Real and Monetary Shocks in a Structural New-Keynesian Model," Computing in Economics and Finance 2005 172, Society for Computational Economics.
    14. Miguel Casares & Antonio Moreno & Jesús Vázquez, 2012. "Wage stickiness and unemployment fluctuations: an alternative approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(3), pages 395-422, September.
    15. Jakub Matějů, 2019. "What Drives the Strength of Monetary Policy Transmission?," International Journal of Central Banking, International Journal of Central Banking, vol. 15(3), pages 59-87, September.
    16. repec:wyi:journl:002201 is not listed on IDEAS
    17. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    18. Oscar Jorda, 2003. "Model-Free Impulse Responses," Working Papers 38, University of California, Davis, Department of Economics.
    19. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    20. Etro, Federico, 2017. "Research in economics and macroeconomics," Research in Economics, Elsevier, vol. 71(3), pages 373-383.
    21. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.

    More about this item

    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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ice:wpaper:wp88. 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: Central Bank of Iceland (email available below). General contact details of provider: https://edirc.repec.org/data/sedgvis.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.