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Monetary policy analysis in a small open economy using Bayesian cointegrated structural VARs

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  • Warne, Anders
  • Villani, Mattias

Abstract

Structural VARs have been extensively used in empirical macroeconomics during the last two decades, particularly in analyses of monetary policy. Existing Bayesian procedures for structural VARs are at best confined to a severly limited handling of cointegration restrictions. This paper extends the Bayesian analysis of structural VARs to cover cointegrated processes with an arbitrary number of cointegrating relations and general linear restrictions on the cointegration space. A reference prior distribution with an optional small open economy effect is proposed and a Gibbs sampler is derived for a straightforward evaluation of the posterior distribution. The methods are used to analyze the effects of monetary policy in Sweden. JEL Classification: C11, C32, E52

Suggested Citation

  • Warne, Anders & Villani, Mattias, 2003. "Monetary policy analysis in a small open economy using Bayesian cointegrated structural VARs," Working Paper Series 296, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2003296
    Note: 563011
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    Cited by:

    1. Peter Claeys, 2007. "Estimating the effects of fiscal policy under the budget constraint," IREA Working Papers 200715, University of Barcelona, Research Institute of Applied Economics, revised Jul 2007.
    2. Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 111-144, December.
    3. Meredith Beechey & Pär Österholm, 2008. "A Bayesian Vector Autoregressive Model with Informative Steady‐state Priors for the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 84(267), pages 449-465, December.
    4. Holmlund, Bertil & Alexius, Annika, 2008. "Monetary Policy and Swedish Unemployment Fluctuations," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-25.
    5. Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
    6. Par Osterholm, 2010. "The effect on the Swedish real economy of the financial crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 20(4), pages 265-274.
    7. Sune Karlsson & Pär Österholm, 2020. "A note on the stability of the Swedish Phillips curve," Empirical Economics, Springer, vol. 59(6), pages 2573-2612, December.
    8. Pär Österholm, 2009. "Incorporating Judgement in Fan Charts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(2), pages 387-415, June.
    9. Svensson, Emma, 2012. "Regional Effects of Monetary Policy in Sweden," Working Papers 2012:9, Lund University, Department of Economics, revised 01 Mar 2013.
    10. Kronick, Jeremy M. & Villarreal, Francisco G., 2019. "Distributional impacts of low for long interest rates," Estudios y Perspectivas – Sede Subregional de la CEPAL en México 44666, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Pär Stockhammar & Pär Österholm, 2016. "Effects of US policy uncertainty on Swedish GDP growth," Empirical Economics, Springer, vol. 50(2), pages 443-462, March.
    12. Ascari, Guido & Rankin, Neil, 2007. "Perpetual youth and endogenous labor supply: A problem and a possible solution," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.
    13. Gustafsson, Peter & Stockhammar, Pär & Österholm, Pär, 2016. "Macroeconomic effects of a decline in housing prices in Sweden," Journal of Policy Modeling, Elsevier, vol. 38(2), pages 242-255.
    14. P�r Österholm & P�r Stockhammar, 2014. "The euro crisis and Swedish GDP growth - a study of spillovers," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1105-1110, November.
    15. Corbo, Vesna & Di Casola, Paola, 2018. "Conditional exchange rate pass-through: evidence from Sweden," Working Paper Series 352, Sveriges Riksbank (Central Bank of Sweden).
    16. Lisandro Abrego & Pär Österholm, 2010. "External Linkages and Economic Growth in Colombia: Insights from a Bayesian VAR Model," The World Economy, Wiley Blackwell, vol. 33(12), pages 1788-1810, December.
    17. Amarasekara, Chandranath, 2008. "The Impact of Monetary Policy on Economic Growth and Inflation in Sri Lanka," MPRA Paper 64866, University Library of Munich, Germany.
    18. Dison, Will & Theodoridis, Konstantinos, 2017. "Do macro shocks matter for equities?," Bank of England working papers 692, Bank of England.
    19. Pär Stockhammar & Pär Österholm, 2017. "The Impact of US Uncertainty Shocks on Small Open Economies," Open Economies Review, Springer, vol. 28(2), pages 347-368, April.
    20. Laséen, Stefan, 2020. "Monetary Policy Surprises, Central Bank Information Shocks, and Economic Activity in a Small Open Economy," Working Paper Series 396, Sveriges Riksbank (Central Bank of Sweden).
    21. Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.
    22. Siok Kun, Sek, 2009. "The impacts of economic structures on the performance of simple policy rules in a small open economy," MPRA Paper 25065, University Library of Munich, Germany.
    23. Villani, Mattias, 2005. "Inference in Vector Autoregressive Models with an Informative Prior on the Steady State," Working Paper Series 181, Sveriges Riksbank (Central Bank of Sweden).
    24. Par Osterholm, 2008. "A structural Bayesian VAR for model-based fan charts," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1557-1569.
    25. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.

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    More about this item

    Keywords

    Counterfactual experiments; Impulse responses; monetary policy; Structural; vector autoregression;
    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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