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Computation of Equilibria in OLG Models with Many Heterogeneous Households

In: Macroeconomic Consequences of Demographic Change

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  • Sebastian Rausch

    (Massachusetts Institute of Technology)

Abstract

Over the past twenty years infinite horizon general equilibrium models with overlapping enerations (OLG) have become an important tool for policy analysis, and have been fruitfully applied in fields such as macroeconomics or public finance (see, e.g., Auerbach and Kotlikoff (1987), and Kotlikoff (2000) for an overview). OLG models naturally involve a large number of variables and equations that describe the equilibrium behavior of economic agents. As a consequence, the development of large-scale OLG models is often limited by the computational capacity of available numerical solution methods. In particular, models that exhibit a rich household side including a variety of household-specific effects, a large number of heterogeneous households, and realistic agent lifetimes typically require “customized solution methods” which may be both costly to implement and difficult to validate.

Suggested Citation

  • Sebastian Rausch, 2009. "Computation of Equilibria in OLG Models with Many Heterogeneous Households," Lecture Notes in Economics and Mathematical Systems, in: Macroeconomic Consequences of Demographic Change, chapter 2, pages 11-42, Springer.
  • Handle: RePEc:spr:lnechp:978-3-642-00146-8_2
    DOI: 10.1007/978-3-642-00146-8_2
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    Citations

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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. Orlando Gomes, 2022. "Human capital and growth in an OLG-life cycle model," SN Business & Economics, Springer, vol. 2(1), pages 1-26, January.
    16. 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.
    17. 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

    Income Effect; Representative Agent; Indifference Curve; Balance Growth Path; Production Possibility Frontier;
    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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