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Is there an asymmetric effect on monetary policy over time? A bayesian analysis using Austrian data

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Abstract

The present paper assesses whether monetary policy effects are asymmetric over the business cycle by estimating a univariate model for GDP including additionally the first difference of the 3-month Austrian interest rate as a measure for monetary policy. The asymmetry of the effects is captured by allowing for state-dependent parameters where the latent state variable follows a Marov switching process. The model is estimated within a Bayesian framework using Markov Chain Monte Carlo simulation methods. Model selection and specification tests are performed by means of marginal likelihood. The results document significant negative effects of monetary policy during periods of below-average growth, while the effect seems insignificant during periods of normal- or above-average growth. These results corroborate those derived in theoretical models assuming price rigidities and implying a convex supply curve. Additionally, the concern of using appropriate state-identifying restrictions is raised to obtain an unbiased posterior inference. Finally, the analysis concludes by assessing the robustness of the results w.r.t. alternative measures of monetary policy.

Suggested Citation

  • Sylvia Kaufmann, 2001. "Is there an asymmetric effect on monetary policy over time? A bayesian analysis using Austrian data," Working Papers 45, Oesterreichische Nationalbank (Austrian Central Bank).
    • Handle: RePEc:onb:oenbwp:45
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    1. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
    2. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    3. repec:dgr:rugsom:98c36 is not listed on IDEAS
    4. Albert, James H & Chib, Siddhartha, 1993. "Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 1-15, January.
    5. repec:onb:oenbwp:y::i:45:b:1 is not listed on IDEAS
    6. Hansen, Bruce E, 1996. "Erratum: The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 195-198, March-Apr.
    7. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    8. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    9. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
    10. Kakes, Jan, 1998. "Monetary transmission and business cycle asymmetry," Research Report 98C36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    11. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    12. Carlos Lenz, 1997. "Asymmetric Effects of Monetary Policy in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 133(III), pages 441-454, September.
    13. Nobuhiro Kiyotaki, 1998. "Credit and Business Cycles," The Japanese Economic Review, Japanese Economic Association, vol. 49(1), pages 18-35, March.
    14. Karras, Georgios, 1996. "Why are the effects of money-supply shocks asymmetric? Convex aggregate supply or "pushing on a string"?," Journal of Macroeconomics, Elsevier, vol. 18(4), pages 605-619.
    15. Roger E. A. Farmer, 1988. "Money and Contracts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(3), pages 431-446.
    16. Roger E. A. Farmer, 1985. "Implicit Contracts with Asymmetric Information and Bankruptcy: The Effect of Interest Rates on Layoffs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(3), pages 427-442.
    17. Peersman, Gert & Smets, Frank, 2001. "Are the effects of monetary policy in the euro area greater in recessions than in booms?," Working Paper Series 52, European Central Bank.
    18. Sylvia Kaufmann & Sylvia Frühwirth‐Schnatter, 2002. "Bayesian analysis of switching ARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(4), pages 425-458, July.
    19. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    20. Sylvia Kaufmann, 2000. "Measuring business cycles with a dynamic Markov switching factor model: an assessment using Bayesian simulation methods," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 39-65.
    21. Ball, Laurence & Mankiw, N Gregory, 1994. "Asymmetric Price Adjustment and Economic Fluctuations," Economic Journal, Royal Economic Society, vol. 104(423), pages 247-261, March.
    22. Daniel Tsiddon, 1993. "The (Mis)Behaviour of the Aggregate Price Level," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(4), pages 889-902.
    23. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
    24. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
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    Cited by:

    1. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.
    2. Kuang‐Liang Chang & Chi‐Wei He, 2010. "Does The Magnitude Of The Effect Of Inflation Uncertainty On Output Growth Depend On The Level Of Inflation?," Manchester School, University of Manchester, vol. 78(2), pages 126-148, March.
    3. Kaufmann, Sylvia, 2001. "Asymmetries in bank lending behaviour. Austria during the 1990s," Working Paper Series 97, European Central Bank.
    4. Sylvia Kaufmann, 2003. "The business cycle of European countries Bayesian clustering of country - individual IP growth series," Working Papers 83, Oesterreichische Nationalbank (Austrian Central Bank).
    5. Osama D. Sweidan, 2008. "Does Policy Interest Rate Have Asymmetric Adjustment: Case Of Jordan," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 151-158.

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    More about this item

    Keywords

    Asymmetry; monetary policy; Markov switching; Markov Chain Monte Carlo; marginal likelihood;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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