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On Linking Microsimulation and Computable General Equilibrium Models Using Exact Aggregation of Heterogeneous Discrete-choice Making Agents

  • MAGNANI R.
  • MERCENIER J.

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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Paper provided by ERMES, University Paris 2 in its series Working Papers ERMES with number 0809.

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Date of creation: 2008
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Handle: RePEc:erm:papers:0809
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  1. 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.
  2. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
  3. Rausch, Sebastian & Rutherford, Thomas F., 2007. "Computation of Equilibria in OLG Models with Many Heterogeneous Households," Ruhr Economic Papers 15, Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI), Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  4. 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.
  5. Arntz, Melanie & Boeters, Stefan & Gurtzgen, Nicole, 2006. "Alternative approaches to discrete working time choice in an AGE framework," Economic Modelling, Elsevier, vol. 23(6), pages 1008-1032, December.
  6. repec:rwi:repape:0015 is not listed on IDEAS
  7. François Bourguignon & Amadéo Spadaro, 2005. "Microsimulation as a tool for evaluating redistribution policies," PSE Working Papers halshs-00590863, HAL.
  8. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March.
  9. 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.
  10. 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.
  11. Sebastian Rausch & Thomas Rutherford, 2010. "Computation of Equilibria in OLG Models with Many Heterogeneous Households," Computational Economics, Society for Computational Economics, vol. 36(2), pages 171-189, August.
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