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On linking microsimulation and computable general equilibrium models using exact aggregation of heterogeneous discrete-choice making agents

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  • Riccardo Magnani

    (CEPII - Centre d'études prospectives et d'informations internationales - CEPII)

  • Jean Mercenier

    (ERMES - Equipe de recherche sur les marches, l'emploi et la simulation - CNRS : UMR7017 - Université Panthéon-Assas - Paris II)

Abstract

Our paper contributes by bridging the gap between the (partial equilibrium) microsimulation and the computable general equilibrium (CGE) approaches, by making use of exact aggregation results from the discrete choice literature: heterogeneous individuals choosing within a set of discrete alternatives may be aggregated into a representative agent with (possibly multiple-level) constant elasticity-of-substitution/transformation 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 overlapping generations model where individuals make leisure/work decisions, and choose a profession among a discrete set of alternatives.

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Bibliographic Info

Paper provided by HAL in its series Post-Print with number halshs-00627736.

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Date of creation: 2009
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Publication status: Published, Economic Modelling, 2009, 26, 3, 560-570
Handle: RePEc:hal:journl:halshs-00627736

Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00627736/en/
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Related research

Keywords: Microsimulation; CGE models; Exact aggregation; Discrete choice; Nested multinomial logit; Population ageing; Income inequality;

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  1. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," Journal of Economic Inequality, Springer, vol. 4(1), pages 77-106, April.
  2. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole, 2005. "Alternative Approaches to Discrete Working Time Choice in an AGE Framework," ZEW Discussion Papers 05-62, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  3. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
  4. 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.
  5. Eckstein, Zvi & Wolpin, Kenneth I, 1989. "Dynamic Labour Force Participation of Married Women and Endogenous Work Experience," Review of Economic Studies, Wiley Blackwell, vol. 56(3), pages 375-90, July.
  6. Zvi Eckstein & Kenneth I. Wolpin, 1989. "The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 562-598.
  7. 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.
  8. 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.
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Citations

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Cited by:
  1. Boeters, Stefan & Savard, Luc, 2013. "The Labor Market in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, Elsevier.
  2. Riccardo Magnani & Luca Piccoli & Martine Carré & Amedeo Spadaro, 2013. "Would a real depreciation of the euro improve the French economy?," DEA Working Papers 60, Universitat de les Illes Balears, Departament d'Economía Aplicada.
  3. Jie Zhu & Ying Jin & Marcial Echenique, 2012. "Application of a new spatial computable general equilibrium model for assessing strategic transport and land use development options in London and surrounding regions," ERSA conference papers ersa12p931, European Regional Science Association.
  4. Acharya, Sanjaya & Hölscher, Jens & Perugini, Cristiano, 2012. "Trade liberalisation and inequalities in Nepal: A CGE analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2543-2557.
  5. Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, vol. 38(C), pages 328-340.

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