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

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Author Info
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)

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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 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.

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Publisher Info
Article provided by Springer in its journal Empirical Economics.

Volume (Year): 27 (2002)
Issue (Month): 2 ()
Pages: 277-297
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Handle: RePEc:spr:empeco:v:27:y:2002:i:2:p:277-297

Note: Received: December 2000/Final Version Received: May 2001
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Related research
Keywords: Asymmetry; monetary policy; Markov switching; Markov Chain Monte Carlo; marginal likelihood;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

Cited by:
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  1. Babutsidze, Zakaria, 2006. "(S,s) Pricing: Does the Heterogeneity Wipe Out the Asymmetry on Micro Level?," UNU-MERIT Working Paper Series 033, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology. [Downloadable!]
  2. Vítor Castro, 2008. "Are Central Banks following a linear or nonlinear (augmented) Taylor rule?," NIPE Working Papers 19/2008, NIPE - Universidade do Minho. [Downloadable!]
    Other versions:
  3. Fidrmuc , Jarko & Horváth, Roman & Horváthová, Eva, 2008. "Corporate Interest Rates and the Financial Accelerator in the Czech Republic," Discussion Papers in Economics 7191, University of Munich, Department of Economics. [Downloadable!]
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