IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v193y2020ics0165176520301907.html
   My bibliography  Save this article

A fast and low computational memory algorithm for non-stochastic simulations in heterogeneous agent models

Author

Listed:
  • Tan, Eugene

Abstract

Heterogeneous agent models in macroeconomics generally require numerical computation of the cross-sectional distribution of agents. The standard textbook approach is to fully approximate the Markov kernel that iterates the distribution forward in time as a Markov transition matrix, which can be costly in terms of computational time and memory when the state space is large. This note provides an alternative algorithm that is simple, requires much less computational memory, and is substantially faster than the standard algorithm.

Suggested Citation

  • Tan, Eugene, 2020. "A fast and low computational memory algorithm for non-stochastic simulations in heterogeneous agent models," Economics Letters, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:ecolet:v:193:y:2020:i:c:s0165176520301907
    DOI: 10.1016/j.econlet.2020.109285
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176520301907
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2020.109285?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Rao Aiyagari, 1994. "Uninsured Idiosyncratic Risk and Aggregate Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 659-684.
    2. Young, Eric R., 2010. "Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm and non-stochastic simulations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(1), pages 36-41, January.
    3. Ljungqvist, Lars & Sargent, Thomas J., 2012. "Recursive Macroeconomic Theory, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262018748, 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. Harmenberg, Karl, 2021. "Aggregating heterogeneous-agent models with permanent income shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    2. Sergio Ocampo & Baxter Robinson, 2024. "Computing Longitudinal Moments for Heterogeneous Agent Models," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1891-1912, 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. Hsu, Minchung & Yang, C.C., 2013. "Optimal linear and two-bracket income taxes with idiosyncratic earnings risk," Journal of Public Economics, Elsevier, vol. 105(C), pages 58-71.
    2. Jochen Mankart & Rigas Oikonomou, 2017. "Household Search and the Aggregate Labour Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1735-1788.
    3. Findeisen, Sebastian & Sachs, Dominik, 2017. "Redistribution and insurance with simple tax instruments," Journal of Public Economics, Elsevier, vol. 146(C), pages 58-78.
    4. Olivier Allais & Yann Algan & Edouard Challe & Xavier Ragot, 2020. "The Welfare Cost of Inflation Risk under Imperfect Insurance," Annals of Economics and Statistics, GENES, issue 138, pages 1-20.
    5. Andrea, Colciago & Rajssa, Mechelli, 2019. "Competition and Inequality: Aiyagari meets Bertrand and Cournot," Working Papers 398, University of Milano-Bicocca, Department of Economics, revised Jan 2019.
    6. San Vicente Portes, Luis & Atal, Vidya & Juárez Torres, Miriam, 2019. "From households to national statistics: Macroeconomic effects of Women's empowerment," Economic Modelling, Elsevier, vol. 79(C), pages 286-294.
    7. François Le Grand & Xavier Ragot, 2022. "Managing Inequality Over Business Cycles: Optimal Policies With Heterogeneous Agents And Aggregate Shocks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 511-540, February.
    8. Krueger, D. & Mitman, K. & Perri, F., 2016. "Macroeconomics and Household Heterogeneity," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 843-921, Elsevier.
    9. Chipeniuk, Karsten O. & Katz, Nets Hawk & Walker, Todd B., 2022. "Households, auctioneers, and aggregation," European Economic Review, Elsevier, vol. 141(C).
    10. Blouri, Yashar & Ehrlich, Maximilian V., 2020. "On the optimal design of place-based policies: A structural evaluation of EU regional transfers," Journal of International Economics, Elsevier, vol. 125(C).
    11. repec:hal:spmain:info:hdl:2441/6bl2553ksc9vlq1fltjs9h1cht is not listed on IDEAS
    12. Jesús Fernández‐Villaverde & Samuel Hurtado & Galo Nuño, 2023. "Financial Frictions and the Wealth Distribution," Econometrica, Econometric Society, vol. 91(3), pages 869-901, May.
    13. Jesús Fernández-Villaverde & Joël Marbet & Galo Nuño & Omar Rachedi, 2023. "Inequality and the Zero Lower Bound," NBER Working Papers 31282, National Bureau of Economic Research, Inc.
    14. Fève, Patrick & Cahn, Christophe & Matheron, Julien, 2024. "The Long-Run Effects of Fiscal Rebalancing in a Heterogeneous-Agent Model," TSE Working Papers 24-1550, Toulouse School of Economics (TSE).
    15. Bar Light, 2019. "General equilibrium in a heterogeneous-agent incomplete-market economy with many consumption goods and a risk-free bond," Papers 1906.06810, arXiv.org, revised Mar 2021.
    16. Angelos Angelopoulos & Konstantinos Angelopoulos & Spyridon Lazarakis & Apostolis Philippopoulos, 2019. "The Distributional Consequences of Rent Seeking," CESifo Working Paper Series 7835, CESifo.
    17. Carroll, Daniel R. & Hur, Sewon, 2020. "On the heterogeneous welfare gains and losses from trade," Journal of Monetary Economics, Elsevier, vol. 109(C), pages 1-16.
    18. Olivier Allais & Yann Algan & Edouard Challe & Xavier Ragot, 2020. "The Welfare Cost of Inflation Risk under Imperfect Insurance," Annals of Economics and Statistics, GENES, issue 138, pages 1-20.
    19. Pietro Dindo & Andrea Modena & Loriana Pelizzon, 2019. "Risk Pooling, Leverage, and the Business Cycle," Working Papers 2019: 21, Department of Economics, University of Venice "Ca' Foscari".
    20. François Le Grand & Xavier Ragot, 2017. "Optimal Fiscal Policy with Heterogeneous Agents and Aggregate Shocks," Working Papers hal-03458683, HAL.
    21. Golosov, M. & Tsyvinski, A. & Werquin, N., 2016. "Recursive Contracts and Endogenously Incomplete Markets," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 725-841, Elsevier.

    More about this item

    Keywords

    Numerical methods; Heterogeneous agent models; Non-stochastic simulation;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment

    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:eee:ecolet:v:193:y:2020:i:c:s0165176520301907. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.