IDEAS home Printed from https://ideas.repec.org/p/ema/worpap/2007-06.html
   My bibliography  Save this paper

On linking microsimulation and applied GE by exact aggregation of heterogeneous discrete-choice making agents

Author

Listed:
  • Riccardo Magnani

    (Université de Cergy-Pontoise (Théma))

  • Jean Mercenier

    (Université de Cergy-Pontoise (Théma))

Abstract

Our paper contributes to bridge the gap between the microsimulation’s approach and applied GE models, by making use of exact aggregation results from the discrete choice literature: heterogeneous individuals choosing (possibly continuous amounts) within a set of discrete alternatives may be aggregated into a representative agent with CES/CET preferences/technologies. These results therefore provide a natural link between the two policy evaluation approaches. We illustrate the usefulness of these results by evaluating potential effects of population ageing on the dynamics of income distribution and inequalities, using a simple OLG model when individuals have to make leisure/work decisions, and choose a profession among a discrete set of alternatives.

Suggested Citation

  • Riccardo Magnani & Jean Mercenier, 2007. "On linking microsimulation and applied GE by exact aggregation of heterogeneous discrete-choice making agents," THEMA Working Papers 2007-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    • Handle: RePEc:ema:worpap:2007-06
    as

    Download full text from publisher

    File URL: http://thema.u-cergy.fr/IMG/documents/2007-06.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kehoe, Timothy J., 2002. "An Evaluation of the Performance of Applied General Equilibrium Models of the Impact of NAFTA," Conference papers 331066, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 77-106, April.
    3. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole & Schubert, Stefanie, 2008. "Analysing welfare reform in a microsimulation-AGE model: The value of disaggregation," Economic Modelling, Elsevier, vol. 25(3), pages 422-439, May.
    4. Kehoe, Timothy J & Polo, Clemente & Sancho, Ferran, 1995. "An Evaluation of the Performance of an Applied General Equilibrium Model of the Spanish Economy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 6(1), pages 115-141, June.
    5. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    6. repec:pse:psecon:2005-02 is not listed on IDEAS
    7. Mercenier, Jean & Yeldan, Erinc, 1999. "A Plea For Greater Attention on the Data in Policy Analysis," Journal of Policy Modeling, Elsevier, vol. 21(7), pages 851-873, December.
    8. Fougere, Maxime & Mercenier, Jean & Merette, Marcel, 2007. "A sectoral and occupational analysis of population ageing in Canada using a dynamic CGE overlapping generations model," Economic Modelling, Elsevier, vol. 24(4), pages 690-711, July.
    9. Kehoe,Timothy J. & Srinivasan,T. N. & Whalley,John (ed.), 2005. "Frontiers in Applied General Equilibrium Modeling," Cambridge Books, Cambridge University Press, number 9780521825252, September.
    10. Melanie Arntz & Stefan Boeters & Nicole Gürtzgen & Stefanie Schubert, 2006. "Analysing Welfare Reform in a Microsimulation-AGE Model," Computing in Economics and Finance 2006 109, Society for Computational Economics.
    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. Salvador Barrios & Mathias Dolls & Anamaria Maftei & Andreas Peichl & Sara Riscado & Janos Varga & Christian Wittneben, 2019. "Dynamic Scoring Of Tax Reforms In The European Union," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(1), pages 239-262, January.
    2. Johannes Bröcker & Jean Mercenier, 2011. "General Equilibrium Models for Transportation Economics," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 2, Edward Elgar Publishing.
    3. Dolls, Mathias & Wittneben, Christian, 2017. "Dynamic Scoring of Tax Reforms in the EU," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168261, Verein für Socialpolitik / German Economic Association.
    4. Colombo, Giulia, 2008. "Linking CGE and Microsimulation Models: A Comparison of Different Approaches," ZEW Discussion Papers 08-054, ZEW - Leibniz Centre for European Economic Research.

    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. 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.
    2. repec:zbw:rwirep:0015 is not listed on IDEAS
    3. Sebastian Rausch & Thomas F. Rutherford, 2007. "Computation of Equilibria in OLG Models with Many Heterogeneous Households," Ruhr Economic Papers 0015, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    4. Peichl, Andreas, 2008. "The benefits of linking CGE and Microsimulation Models - Evidence from a Flat Tax analysis," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 08-6, University of Cologne, FiFo Institute for Public Economics.
    5. 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.
    6. Altamirano-Cabrera, J.C. & Bicchetti, D. & Drouet, L. & Thalmann, P. & Vielle, M., 2008. "A global carbon tax to compensate damage and adaptation costs or climate change compensation through a global carbon tax," Conference papers 331782, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Ahmed, Vaqar & O' Donoghue, Cathal, 2007. "CGE-Microsimulation Modelling: A Survey," MPRA Paper 9307, University Library of Munich, Germany.
    8. Andreas Peichl, 2009. "The Benefits and Problems of Linking Micro and Macro Models — Evidence from a Flat Tax Analysis," Journal of Applied Economics, Taylor & Francis Journals, vol. 12(2), pages 301-329, November.
    9. Koesler, Simon, 2014. "Specifying parameters in computable general equilibrium models using optimal fingerprint detection methods," ZEW Discussion Papers 14-092, ZEW - Leibniz Centre for European Economic Research.
    10. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    11. Dorothée Boccanfuso & Antonio Estache & Luc Savard, 2009. "Electricity Reforms In Mali: A Macro–Micro Analysis Of The Effects On Poverty And Distribution," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 127-147, March.
    12. Hong, Chanyoung & Yang, Heewon & Hwang, Wonsik & Lee, Jeong-Dong, 2014. "Validation of an R&D-based computable general equilibrium model," Economic Modelling, Elsevier, vol. 42(C), pages 454-463.
    13. Dixon, Peter B. & Rimmer, Maureen T., 2013. "Validation in Computable General Equilibrium Modeling," 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 1271-1330, Elsevier.
    14. T.N. Srinivasan, 2010. "Global Economic Institutional, Intellectual and Religious Contacts: A Brief History," Chapters, in: Robert E.B. Lucas & Lyn Squire & T. N. Srinivasan (ed.), Global Exchange and Poverty, chapter 1, Edward Elgar Publishing.
    15. María C. Latorre, 2009. "The economic analysis of multinationals and foreign direct investment: a review," Hacienda Pública Española / Review of Public Economics, IEF, vol. 191(4), pages 97-126, December.
    16. Giulia COLOMBO, 2008. "The Effects of DR-CAFTA in Nicaragua: A CGE-Microsimulation Model for Poverty and Inequality Analysis," EcoMod2008 23800025, EcoMod.
    17. Devarajan, Shantayanan & Robinson, Sherman, 2013. "Contribution of Computable General Equilibrium Modeling to Policy Formulation in Developing Countries," 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 277-301, Elsevier.
    18. Colombo, Giulia, 2008. "Linking CGE and Microsimulation Models: A Comparison of Different Approaches," ZEW Discussion Papers 08-054, ZEW - Leibniz Centre for European Economic Research.
    19. M. Alejandro Cardenete & M. Carmen Lima & Ferran Sancho, 2013. "Are There Key Sectors? An Appraisal Using Applied General Equilibrium," The Review of Regional Studies, Southern Regional Science Association, vol. 43(2,3), pages 111-129, Winter.
    20. Chang Seung & Edward Waters, 2010. "Evaluating Supply-Side And Demand-Side Shocks For Fisheries: A Computable General Equilibrium (Cge) Model For Alaska," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 87-109.
    21. Markusen, James R., 2013. "Expansion of trade at the extensive margin: A general gains-from-trade result and illustrative examples," Journal of International Economics, Elsevier, vol. 89(1), pages 262-270.

    More about this item

    Keywords

    Microsimulation; Applied OLG models; Exact aggregation; Discrete choice; Population ageing; Income inequality;
    All these keywords.

    JEL classification:

    • 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
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:ema:worpap:2007-06. 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: Stefania Marcassa (email available below). General contact details of provider: https://edirc.repec.org/data/themafr.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.