IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v27y2002i2p277-297.html
   My bibliography  Save this article

Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data

Author

Listed:
  • Sylvia Kaufmann

    () (Oesterreichische Nationalbank, Economic Analysis Division, P.O. Box 61, A-1011 Vienna, and University of Vienna, Department of Economics, Hohenstaufengasse 9, A-1010 Vienna)

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 Markov 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 with respect to alternative measures of monetary policy.

Suggested Citation

  • Sylvia Kaufmann, 2002. "Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data," Empirical Economics, Springer, vol. 27(2), pages 277-297.
    • Handle: RePEc:spr:empeco:v:27:y:2002:i:2:p:277-297
    Note: Received: December 2000/Final Version Received: May 2001
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00181/papers/2027002/20270277.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    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. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(03), pages 409-431, August.
    3. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    4. 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.
    5. Ball, Laurence & Mankiw, N Gregory, 1994. "Asymmetric Price Adjustment and Economic Fluctuations," Economic Journal, Royal Economic Society, vol. 104(423), pages 247-261, March.
    6. 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.
    7. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, Oxford University Press, vol. 113(3), pages 869-902.
    8. 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.
    9. 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.
    10. repec:dgr:rugsom:98c36 is not listed on IDEAS
    11. Kakes, Jan, 1998. "Monetary transmission and business cycle asymmetry," Research Report 98C36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    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. Roger E. A. Farmer, 1985. "Implicit Contracts with Asymmetric Information and Bankruptcy: The Effect of Interest Rates on Layoffs," Review of Economic Studies, Oxford University Press, vol. 52(3), pages 427-442.
    14. Daniel Tsiddon, 1993. "The (Mis)Behaviour of the Aggregate Price Level," Review of Economic Studies, Oxford University Press, vol. 60(4), pages 889-902.
    15. 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.
    16. 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.
    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 0052, European Central Bank.
    18. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    19. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
    20. 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.
    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. repec:eee:joecas:v:12:y:2015:i:2:p:73-79 is not listed on IDEAS
    2. Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2015. "Do Fed Forecast Errors Matter?," Wesleyan Economics Working Papers 2015-004, Wesleyan University, Department of Economics.
    3. Babutsidze, Zakaria, 2006. "(S,s) Pricing: Does the Heterogeneity Wipe Out the Asymmetry on Micro Level?," MERIT Working Papers 033, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2017. "Financial Depth and the Asymmetric Impact of Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1195-1218, December.
    5. Zakaria Babutsidze, 2012. "Asymmetric (S,s) Pricing: Implications for Monetary Policy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 177-204.
    6. Vítor Castro, 2008. "Are Central Banks following a linear or nonlinear (augmented) Taylor rule?," NIPE Working Papers 19/2008, NIPE - Universidade do Minho.
    7. Kwangyong Park, 2019. "Uncertainty, Attention Allocation and Monetary Policy Asymmetry," Working Papers 2019-5, Economic Research Institute, Bank of Korea.
    8. Lo, Ming Chien & Piger, Jeremy, 2005. "Is the Response of Output to Monetary Policy Asymmetric? Evidence from a Regime-Switching Coefficients Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(5), pages 865-886, October.
    9. Fredj Jawadi & Sushanta K. Mallick & Ricardo M. Sousa, 2011. "Monetary Policy Rules in the BRICS: How Important is Nonlinearity?," NIPE Working Papers 18/2011, NIPE - Universidade do Minho.
    10. 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).
    11. repec:mbr:jmonec:v:10:y:2015:i:4:p:125-142 is not listed on IDEAS
    12. Rather, Sartaj Rasool & Durai, S. Raja Sethu & Ramachandran, M., 2015. "Asymmetric price adjustment – evidence for India," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 73-79.
    13. Chuku Chuku & Paul Middleditch, 2016. "Characterizing monetary and fiscal policy rules and interactions when commodity prices matter," Centre for Growth and Business Cycle Research Discussion Paper Series 222, Economics, The Univeristy of Manchester.
    14. Jarko Fidrmuc & Roman Horváth & Eva Horváthová, 2010. "Corporate Interest Rates and the Financial Accelerator in the Czech Republic," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 41-54, January.
    15. Maria Teresa VALDERRAMA & Sylvia KAUFMANN, "undated". "Modeling Credit Aggregates," EcoMod2004 330600146, EcoMod.
    16. Jasmine Zheng, 2013. "Effects of US Monetary Policy Shocks During Financial Crises - A Threshold Vector Autoregression Approach," CAMA Working Papers 2013-64, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    17. 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.
    18. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2013. "The Role of Financial Depth on the Asymmetric Impact of Monetary Policy," Working Papers 2013007, The University of Sheffield, Department of Economics.
    19. Ming-Yuan Leon Li, 2009. "Reexamining asymmetric effects of monetary and government spending policies on economic growth using quantile regression," Journal of Developing Areas, Tennessee State University, College of Business, vol. 43(1), pages 137-154, September.
    20. Alvaro Aguiar & Manuel Martins, 2005. "Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area," Empirical Economics, Springer, vol. 30(3), pages 665-691, October.
    21. Vinícius dos Santos Cerqueira & Márcio Bruno Ribeiro & Thiago Sevilhano Martinez, 2011. "Propagação Assimétrica de Choques Monetários na Economia Brasileira: Evidências com Base em um Modelo Vetorial não Linear de Transição Suave," Discussion Papers 1639, Instituto de Pesquisa Econômica Aplicada - IPEA.
    22. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.

    More about this item

    Keywords

    Asymmetry; monetary policy; Markov switching; Markov Chain Monte Carlo; marginal likelihood;

    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

    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:spr:empeco:v:27:y:2002:i:2:p:277-297. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Mallaigh Nolan). General contact details of provider: http://www.springer.com .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.