IDEAS home Printed from https://ideas.repec.org/p/red/sed005/628.html
   My bibliography  Save this paper

Solving Dynamic Stochastic Optimization Problems Using the Method of Endogenous Gridpoints

Author

Listed:
  • Christopher D. Carroll

    (Economics Johns Hopkins University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Christopher D. Carroll, 2005. "Solving Dynamic Stochastic Optimization Problems Using the Method of Endogenous Gridpoints," 2005 Meeting Papers 628, Society for Economic Dynamics.
    • Handle: RePEc:red:sed005:628
    as

    Download full text from publisher

    File URL: http://www.econ.jhu.edu/people/ccarroll/EndogenousGridpoints.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    2. Deaton, Angus, 1991. "Saving and Liquidity Constraints," Econometrica, Econometric Society, vol. 59(5), pages 1221-1248, September.
    3. 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.
    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. Setty, Ofer, 2011. "Unemployment Accounts," Foerder Institute for Economic Research Working Papers 275748, Tel-Aviv University > Foerder Institute for Economic Research.
    2. Dirk Krueger & Alexander Ludwig, 2006. "On the Consequences of Demographic Change for International Capital Flows, Rates of Returns to Capital, and the Distribution of Wealth and Welfare," 2006 Meeting Papers 643, Society for Economic Dynamics.
    3. Greg Kaplan, 2012. "Inequality and the life cycle," Quantitative Economics, Econometric Society, vol. 3(3), pages 471-525, November.
    4. 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.
    5. Padula, Mario, 2010. "An approximate consumption function," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 404-416, March.
    6. Krueger, Dirk & Ludwig, Alexander, 2007. "On the consequences of demographic change for rates of returns to capital, and the distribution of wealth and welfare," Journal of Monetary Economics, Elsevier, vol. 54(1), pages 49-87, January.
    7. Pontus Rendahl, 2006. "Inequality Constraints in Recursive Economies," Economics Working Papers ECO2006/6, European University Institute.
    8. Abe, Naohito & Yamada, Tomoaki, 2009. "Nonlinear income variance profiles and consumption inequality over the life cycle," Journal of the Japanese and International Economies, Elsevier, vol. 23(3), pages 344-366, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Weifeng Wu & Kiichi Tokuoka & Christopher Carroll, 2012. "The Method of Moderation for Solving Dynamic Stochastic Optimization Problems," 2012 Meeting Papers 1102, Society for Economic Dynamics.
    3. Christophe Gouel, 2013. "Comparing Numerical Methods for Solving the Competitive Storage Model," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 267-295, February.
    4. Miao, Jianjun & Wang, Neng, 2007. "Investment, consumption, and hedging under incomplete markets," Journal of Financial Economics, Elsevier, vol. 86(3), pages 608-642, December.
    5. Emilio Fernandez-Corugedo, 2004. "Consumption Theory," Handbooks, Centre for Central Banking Studies, Bank of England, number 23, April.
    6. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2020. "A tractable framework for analyzing a class of nonstationary Markov models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1289-1323, November.
    7. Santos, Marcelo Rodrigues dos & Pereira, Thiago Neves, 2010. "Moving to a Consumption-Based Tax System: A Quantitative Assessment for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 64(2), June.
    8. Kelley, Clare & Lanot, Gauthier, 2002. "Consumption Patterns Over Pay Periods," Economic Research Papers 269469, University of Warwick - Department of Economics.
    9. Den Haan, Wouter J. & De Wind, Joris, 2012. "Nonlinear and stable perturbation-based approximations," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1477-1497.
    10. Faia, Ester & Iliopulos, Eleni, 2011. "Financial openness, financial frictions and optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1976-1996.
    11. Kato, Ryo & Nishiyama, Shin-Ichi, 2005. "Optimal monetary policy when interest rates are bounded at zero," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 97-133, January.
    12. repec:hal:spmain:info:hdl:2441/8845 is not listed on IDEAS
    13. Jeremy Lise, 2006. "On-the-Job Search and Precautionary Savings: Theory and Empirics of Earnings and Wealth Inequality," 2006 Meeting Papers 137, Society for Economic Dynamics.
    14. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2014. "Lower Bounds on Approximation Errors: Testing the Hypothesis That a Numerical Solution Is Accurate?," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-06, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    15. Hull, Isaiah, 2015. "Approximate dynamic programming with post-decision states as a solution method for dynamic economic models," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 57-70.
    16. 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.
    17. Algan, Yann & Allais, Olivier & Den Haan, Wouter J., 2008. "Solving heterogeneous-agent models with parameterized cross-sectional distributions," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 875-908, March.
    18. 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.
    19. repec:hal:wpspec:info:hdl:2441/8823 is not listed on IDEAS
    20. repec:spo:wpecon:info:hdl:2441/8845 is not listed on IDEAS
    21. Serguei Maliar & John Taylor & Lilia Maliar, 2016. "The Impact of Alternative Transitions to Normalized Monetary Policy," 2016 Meeting Papers 794, Society for Economic Dynamics.
    22. Francisco (F.) Blasques & Marc Nientker, 2019. "Transformed Perturbation Solutions for Dynamic Stochastic General Equilibrium Models," Tinbergen Institute Discussion Papers 19-012/III, Tinbergen Institute, revised 09 Feb 2020.
    23. Iiboshi, Hirokuni, 2016. "Monetary policy regime shifts under the zero lower bound: An application of a stochastic rational expectations equilibrium to a Markov switching DSGE model," Economic Modelling, Elsevier, vol. 52(PA), pages 186-205.

    More about this item

    Keywords

    Numerical Optimization; Dynamic Programming; Precautionary Saving;
    All these keywords.

    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
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment

    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:red:sed005:628. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.