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Computing Equilibria in Dynamic Models with Occasionally Binding Constraints

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  • Michael Grill

    (Mannheim University)

  • Johannes Brumm

    (Mannheim University)

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    Abstract

    We embed it into a time iteration algorithm to compute recursive equilibria in an infinite horizon endowment economy where heterogeneous agents trade in various assets subject to collateral constraints and short sale constraints. We show that adaptive simplicial interpolation computes equilibria accurately in terms of Euler equation errors and outperforms equidistant grid schemes by far.

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    File URL: http://www.economicdynamics.org/meetpapers/2010/paper_695.pdf
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    Bibliographic Info

    Paper provided by Society for Economic Dynamics in its series 2010 Meeting Papers with number 695.

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    Date of creation: 2010
    Date of revision:
    Handle: RePEc:red:sed010:695

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    Postal: Society for Economic Dynamics Christian Zimmermann Economic Research Federal Reserve Bank of St. Louis PO Box 442 St. Louis MO 63166-0442 USA
    Fax: 1-314-444-8731
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    Web page: http://www.EconomicDynamics.org/society.htm
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    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Grune, Lars & Semmler, Willi, 2004. "Using dynamic programming with adaptive grid scheme for optimal control problems in economics," Journal of Economic Dynamics and Control, Elsevier, vol. 28(12), pages 2427-2456, December.
    2. Rendahl Pontus, 2006. "Inequality Constraints in Recursive Economies," Computing in Economics and Finance 2006 174, Society for Computational Economics.
    3. Lawrence J. Christiano & Jonas D.M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper Series, Macroeconomic Issues WP-97-15, Federal Reserve Bank of Chicago.
    4. Felix Kubler & Karl Schmedders, 2001. "Stationary Equilibria in Asset-Pricing Models with Incomplete Markets and Collateral," Discussion Papers 1319, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    5. Barillas, Francisco & Fernandez-Villaverde, Jesus, 2007. "A generalization of the endogenous grid method," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2698-2712, August.
    6. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    7. Krueger, Dirk & Kubler, Felix, 2004. "Computing equilibrium in OLG models with stochastic production," Journal of Economic Dynamics and Control, Elsevier, vol. 28(7), pages 1411-1436, April.
    8. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
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    Cited by:
    1. Alexander Ludwig & Matthias Schön, 2013. "Endogenous Grids in Higher Dimensions: Delaunay Interpolation and Hybrid Methods," Working Paper Series in Economics 65, University of Cologne, Department of Economics, revised 11 Jun 2014.
    2. Trimborn, Timo, 2013. "Solution of continuous-time dynamic models with inequality constraints," Economics Letters, Elsevier, vol. 119(3), pages 299-301.
    3. Adam, Klaus & Grill, Michael, 2012. "Optimal Sovereign Default," Working Papers 12-16, University of Mannheim, Department of Economics.
    4. Dominik Menno & Tommaso Oliviero, 2013. "Financial Intermediation, House Prices, and the Distributive Effects of the U.S. Great Recession," Economics Working Papers ECO2013/05, European University Institute.

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