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Efficient simulation of DSGE models with inequality constraints

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Author Info

  • Tom Holden

    (University of Surrey)

  • Michael Paetz

    (University of Hamburg)

Abstract

This paper presents a fast, simple and intuitive algorithm for simulation of linear dynamic stochastic general equilibrium models with inequality constraints. The algorithm handles both the computation of impulse responses, and stochastic simulation, and can deal with arbitrarily many bounded variables. Furthermore, the algorithm is able to capture the precautionary motive associated with the risk of hitting such a bound. To illustrate the usefulness and efficiency of this algorithm we provide a variety of applications including to models incorporating a zero lower bound (ZLB) on nominal interest rates. Our procedure is much faster than comparable methods and can readily handle large models. We therefore expect this algorithm to be useful in a wide variety of applications.

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File URL: http://www.fahs.surrey.ac.uk/economics/discussion_papers/2012/DP16-12.pdf
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Bibliographic Info

Paper provided by School of Economics, University of Surrey in its series School of Economics Discussion Papers with number 1612.

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Length: 21 pages
Date of creation: Oct 2012
Date of revision:
Handle: RePEc:sur:surrec:1612

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Web page: http://www.surrey.ac.uk/economics/
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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Efficient Simulation of DSGE Models with Inequality Constraints
    by Christian Zimmermann in NEP-DGE blog on 2012-08-26 03:03:22
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Cited by:
  1. William T. Gavin & Benjamin D. Keen, 2012. "U.S. monetary policy: a view from macro theory," Working Papers 2012-019, Federal Reserve Bank of St. Louis.
  2. Michael Funke & Michael Paetz & Qianying Chen,, 2012. "Market and Non-Market Monetary Policy Tools in a Calibrated DSGE Model for Mainland China," Quantitative Macroeconomics Working Papers 21207, Hamburg University, Department of Economics.

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