IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/1320.html
   My bibliography  Save this paper

Inequality Constraints and Euler Equation based Solution Methods

Author

Listed:
  • Pontus Rendahl

Abstract

Solving dynamic models with inequality constraints poses a challenging problem for two major reasons: dynamic programming techniques are reliable but often slow, while Euler equation based methods are fast but have problematic or unknown convergence properties. This paper attempts to bridge this gap. I show that a common iterative procedure on the Euler equation { usually referred to as time iteration { delivers a sequence of approximate policy functions that converges to the true solution under a wide range of circumstances. These circumstances extend to an arbitrarily large, but nite, set of endogenous and exogenous state-variables as well as a very broad spectrum of occasionally binding constraints.

Suggested Citation

  • Pontus Rendahl, 2013. "Inequality Constraints and Euler Equation based Solution Methods," Cambridge Working Papers in Economics 1320, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:1320
    as

    Download full text from publisher

    File URL: http://www.econ.cam.ac.uk/research-files/repec/cam/pdf/cwpe1320.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Aruoba, S. Boragan & Fernandez-Villaverde, Jesus & Rubio-Ramirez, Juan F., 2006. "Comparing solution methods for dynamic equilibrium economies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2477-2508, December.
    2. Rincón-Zapatero, Juan Pablo & Santos, Manuel S., 2009. "Differentiability of the value function without interiority assumptions," Journal of Economic Theory, Elsevier, vol. 144(5), pages 1948-1964, September.
    3. Davig, Troy, 2004. "Regime-switching debt and taxation," Journal of Monetary Economics, Elsevier, vol. 51(4), pages 837-859, May.
    4. McGrattan, Ellen R., 1996. "Solving the stochastic growth model with a finite element method," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 19-42.
    5. Malin, Benjamin A. & Krueger, Dirk & Kubler, Felix, 2011. "Solving the multi-country real business cycle model using a Smolyak-collocation method," Journal of Economic Dynamics and Control, Elsevier, vol. 35(2), pages 229-239, February.
    6. Hansen, Gary D & Imrohoroglu, Ayse, 1992. "The Role of Unemployment Insurance in an Economy with Liquidity Constraints and Moral Hazard," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 118-142, February.
    7. den Haan, Wouter J & Marcet, Albert, 1990. "Solving the Stochastic Growth Model by Parameterizing Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 31-34, January.
    8. Christiano, Lawrence J. & Fisher, Jonas D. M., 2000. "Algorithms for solving dynamic models with occasionally binding constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 24(8), pages 1179-1232, July.
    9. 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.
    10. S. Rao Aiyagari, 1994. "Uninsured Idiosyncratic Risk and Aggregate Saving," The Quarterly Journal of Economics, Oxford University Press, vol. 109(3), pages 659-684.
    11. Carroll, Christopher D., 2006. "The method of endogenous gridpoints for solving dynamic stochastic optimization problems," Economics Letters, Elsevier, vol. 91(3), pages 312-320, June.
    12. Davig, Troy & Leeper, Eric M. & Walker, Todd B., 2010. ""Unfunded liabilities" and uncertain fiscal financing," Journal of Monetary Economics, Elsevier, vol. 57(5), pages 600-619, July.
    13. Hans-Ulrich Derlien & B. Guy Peters, 2008. "Introduction," Chapters,in: The State at Work, Volume 2, chapter 1 Edward Elgar Publishing.
    14. Baxter, Marianne, 1991. "Approximating suboptimal dynamic equilibria : An Euler equation approach," Journal of Monetary Economics, Elsevier, vol. 28(2), pages 173-200, October.
    15. Sydney C. Ludvigson & Alexander Michaelides, 2001. "Does Buffer-Stock Saving Explain the Smoothness and Excess Sensitivity of Consumption?," American Economic Review, American Economic Association, vol. 91(3), pages 631-647, June.
    16. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
    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. Kabukcuoglu, Ayse & Martinez-Garcia, Enrique, 2016. "The market resources method for solving dynamic optimization problems," Globalization and Monetary Policy Institute Working Paper 274, Federal Reserve Bank of Dallas.
    2. Klaus Adam & Albert Marcet & Johannes Beutel, 2017. "Stock Price Booms and Expected Capital Gains," American Economic Review, American Economic Association, vol. 107(8), pages 2352-2408, August.
    3. Li, Huiyu & Stachurski, John, 2014. "Solving the income fluctuation problem with unbounded rewards," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 353-365.
    4. Anagnostopoulos Alexis & Tang Xin, 2015. "Evaluating linear approximations in a two-country model with occasionally binding borrowing constraints," The B.E. Journal of Macroeconomics, De Gruyter, vol. 15(1), pages 1-49, January.
    5. Coeurdacier, Nicolas & Rey, Hélène & Winant, Pablo, 2015. "Financial Integration and Growth in a Risky World," CEPR Discussion Papers 11009, C.E.P.R. Discussion Papers.
    6. repec:eee:dyncon:v:85:y:2017:i:c:p:90-122 is not listed on IDEAS

    More about this item

    Keywords

    Inequality constraints; Envelope theorem; Time iteration;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cam:camdae:1320. 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: (Jake Dyer). General contact details of provider: http://www.econ.cam.ac.uk/ .

    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.