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Estimation and Evaluation of a Segmented Markets Monetary Model Author info | Abstract | Publisher info | Download info | Related research | Statistics John Landon-Lane () (Rutgers University)
Filippo Occhino () (Rutgers University)
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This paper develops a heterogeneous agents segmented markets model with endogenous production and a monetary authority that follows a Taylor-type interest rate rule. The model is estimated using Markov chain Monte Carlo techniques and is evaluated as a framework suitable for empirical monetary analysis. We find that the segmented markets friction significantly improves the statistical out-of-sample prediction performance of the model, and generates delayed and realistic impulse response functions to monetary policy shocks. In addition, we find that the estimates of the Taylor rule are stable across the pre-1979 and post-1982 periods in our sample, while the volatilities of the structural shocks faced in the pre-1979 period are substantially higher than in the post-1982 period.
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Paper provided by Rutgers University, Department of Economics in its series Departmental Working Papers with number
200505.
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Date of creation: 13 Jun 2005Date of revision:
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Keywords: Segmented Markets ; Markov chain Monte Carlo ; Taylor rule ; Monetary policy shocks ; Other versions of this item:
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
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