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Computation of Equilibria in OLG Models with Many Heterogeneous Households

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  • Rausch, Sebastian
  • Rutherford, Thomas F.

Abstract

This paper develops a decomposition algorithm by which a market economy with many households may be solved through the computation of equilibria for a sequence of representative agent economies. The paper examines local and global convergence properties of the sequential recalibration (SR) algorithm. SR is then demonstrated to efficiently solve Auerbach-Kotlikoff OLG models with a large number of heterogeneous households. We approximate equilibria in OLG models by solving a sequence of related Ramsey optimal growth problems.This approach can provide improvements in both efficiency and robustness as compared with simultaneous solution-methods.

Suggested Citation

  • Rausch, Sebastian & Rutherford, Thomas F., 2007. "Computation of Equilibria in OLG Models with Many Heterogeneous Households," Ruhr Economic Papers 15, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:15
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    Cited by:

    1. Melnikov, N.B. & O'Neill, B.C. & Dalton, M.G., 2012. "Accounting for household heterogeneity in general equilibrium economic growth models," Energy Economics, Elsevier, vol. 34(5), pages 1475-1483.
    2. Sebastian Rausch & Thomas Rutherford, 2010. "Computation of Equilibria in OLG Models with Many Heterogeneous Households," Computational Economics, Springer;Society for Computational Economics, vol. 36(2), pages 171-189, August.
    3. Sameera Awawda & Mohammad Abu-Zaineh, 2019. "An Operationalizing Theoretical Framework for the Analysis of Universal Health Coverage Reforms: First Test on an Archetype Developing Economy," Working Papers halshs-02009858, HAL.
    4. Hoffmann, Christin, 2019. "Estimating the benefits of adaptation to extreme climate events, focusing on nonmarket damages," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    5. Andreas PEICHL, 2008. "The Benefits of Linking CGE and Microsimulation Models - Evidence from a Flat Tax analysis," EcoMod2008 23800106, EcoMod.
    6. Rausch, Sebastian & Metcalf, Gilbert E. & Reilly, John M., 2011. "Distributional impacts of carbon pricing: A general equilibrium approach with micro-data for households," Energy Economics, Elsevier, vol. 33(S1), pages 20-33.
    7. Balistreri, Edward J. & Hillberry, Russell H. & Rutherford, Thomas F., 2010. "Trade and welfare: Does industrial organization matter?," Economics Letters, Elsevier, vol. 109(2), pages 85-87, November.
    8. Schmitz, Christoph & Biewald, Anne & Lotze-Campen, Hermann & Popp, Alexander, 2011. "Increased Agricultural Trade and its Impacts on Food System, Land-use and Greenhouse Gas Emissions," Conference papers 332165, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Magnani, Riccardo & Mercenier, Jean, 2009. "On linking microsimulation and computable general equilibrium models using exact aggregation of heterogeneous discrete-choice making agents," Economic Modelling, Elsevier, vol. 26(3), pages 560-570, May.
    10. Melnikov, Nikolai B. & O’Neill, Brian C. & Dalton, Michael G. & van Ruijven, Bas J., 2017. "Downscaling heterogeneous household outcomes in dynamic CGE models for energy-economic analysis," Energy Economics, Elsevier, vol. 65(C), pages 87-97.
    11. Gauthier de Maere d'Aertrycke & Olivier Durand-Lasserve & Marco Schudel, 2014. "Integration of Power Generation Capacity Expansion in an Applied General Equilibrium Model," Working Papers 2014.71, Fondazione Eni Enrico Mattei.
    12. Lanz, Bruno & Rausch, Sebastian, 2012. "Cap-and-Trade Climate Policies with Price-Regulated Firms: How Costly Are Free Allowances?," Conference papers 332267, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. Jansson, Torbjorn & Bakker, Martha M. & Boitier, B. & Fougeyrollas, A. & Helming, John F.M. & van Meijl, Hans & Verkerk, P.J., 2008. "Linking models for land use analysis: experiences from the SENSOR project," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44169, European Association of Agricultural Economists.
    14. Sameera Awawda & Mohammad Abu-Zaineh, 2019. "An Operationalizing Theoretical Framework for the Analysis of Universal Health Coverage Reforms: First Test on an Archetype Developing Economy," Working Papers halshs-02009858, HAL.
    15. Florian Landis & Sebastian Rausch & Mirjam Kosch & Christoph Böhringer, 2019. "Efficient and Equitable Policy Design: Taxing Energy Use or Promoting Energy Savings?," The Energy Journal, , vol. 40(1), pages 73-104, January.
    16. Orlando Gomes, 2022. "Human capital and growth in an OLG-life cycle model," SN Business & Economics, Springer, vol. 2(1), pages 1-26, January.
    17. Kathy Hibbard & Anthony Janetos, 2013. "The regional nature of global challenges: a need and strategy for integrated regional modeling," Climatic Change, Springer, vol. 118(3), pages 565-577, June.
    18. Boeters, Stefan & Savard, Luc, 2013. "The Labor Market in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1645-1718, Elsevier.

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    More about this item

    Keywords

    Computable general equilibrium; overlapping generations; microsimulation; sequential recalibration;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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