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

Author

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  • Riccardo Magnani

    (CEPII - Centre d'études prospectives et d'informations internationales - CEPII - Centre d'Etudes Prospectives et d'Informations Internationales - Centre d'analyse stratégique)

  • Jean Mercenier

    (ERMES - Equipe de recherche sur les marches, l'emploi et la simulation - UP2 - Université Panthéon-Assas - CNRS - Centre National de la Recherche Scientifique)

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.

Suggested Citation

  • Riccardo Magnani & Jean Mercenier, 2009. "On linking microsimulation and computable general equilibrium models using exact aggregation of heterogeneous discrete-choice making agents," Post-Print halshs-00627736, HAL.
  • Handle: RePEc:hal:journl:halshs-00627736
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00627736
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, April.
    5. 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.
    6. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    7. Zvi Eckstein & Kenneth I. Wolpin, 1989. "Dynamic Labour Force Participation of Married Women and Endogenous Work Experience," Review of Economic Studies, Oxford University Press, vol. 56(3), pages 375-390.
    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. 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.
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    Cited by:

    1. Salvador Barrios & Mathias Dolls & Anamaria Maftei & Andreas Peichl & Sara Riscado & Janos Varga & Christian Wittneben, 2016. "Dynamic scoring of tax reforms in the European Union," JRC Working Papers on Taxation & Structural Reforms 2016-03, Joint Research Centre (Seville site).
    2. Michal Horvath & Matus Senaj & Zuzana Siebertova & Norbert Svarda & Jana Valachyova, 2018. "Evaluating the Aggregate Effects of Tax and Benefit Reforms," Working Papers Working Paper No. 1/2018, Council for Budget Responsibility.
    3. de Quatrebarbes, Céline & Boccanfuso, Dorothée & Savard, Luc, 2016. "Beyond representative households: The macro–micro impact analysis of VAT designs applied to Niger," Economic Modelling, Elsevier, vol. 57(C), pages 76-92.
    4. 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.
    5. Riccardo Magnani & Luca Piccoli & Martine Carré & Amedeo Spadaro, 2013. "Would a euro's depreciation improve the French economy?," CEPN Working Papers hal-01515823, HAL.
    6. Eliane El Badaoui & Riccardo Magnani, 2015. "Tax Policies and Informality in South Africa," EconomiX Working Papers 2015-22, University of Paris Nanterre, EconomiX.
    7. Grazzini, Jakob & Richiardi, Matteo, 2015. "Estimation of ergodic agent-based models by simulated minimum distance," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 148-165.
    8. Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    9. Benczur, Peter & Katay, Gabor & Kiss, Aron, 2017. "Assessing the Economic and Social Impact of Tax and Transfer System Reforms: A General Equilibrium Microsimulation Approach," Working Papers 2017-09, Joint Research Centre, European Commission (Ispra site).
    10. 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.
    11. 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.
    12. repec:elg:eechap:14395_2 is not listed on IDEAS
    13. Boeters, Stefan & Savard, Luc, 2013. "The Labor Market in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, Elsevier.
    14. 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.

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