IDEAS home Printed from https://ideas.repec.org/p/erm/papers/0809.html
   My bibliography  Save this paper

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

Author

Listed:
  • MAGNANI R.
  • MERCENIER J.

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Magnani R. & Mercenier J., 2008. "On Linking Microsimulation and Computable General Equilibrium Models Using Exact Aggregation of Heterogeneous Discrete-choice Making Agents," Working Papers ERMES 0809, ERMES, University Paris 2.
  • Handle: RePEc:erm:papers:0809
    as

    Download full text from publisher

    File URL: http://ermes.u-paris2.fr/doctrav/0809
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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. 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. 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.
    5. 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.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, December.
    7. 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.
    8. 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.
    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.
    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. Norbert Švarda & Jana Valachyová & Matúš Senaj & Michal Horváth & Zuzana Siebertová, 2018. "The end of the flat tax experiment in Slovakia: An evaluation using behavioural microsimulation linked with a dynamic macroeconomic framework," Discussion Papers 50, Central European Labour Studies Institute (CELSI).
    2. 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.
    3. Horváth, Michal & Senaj, Matúš & Siebertová, Zuzana & Švarda, Norbert & Valachyová, Jana, 2019. "The end of the flat tax experiment in Slovakia: An evaluation using behavioural microsimulation in a dynamic macroeconomic framework," Economic Modelling, Elsevier, vol. 80(C), pages 171-184.
    4. 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.
    5. Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    6. 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).
    7. 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.
    8. Riccardo Magnani & Luca Piccoli & Martine Carré & Amedeo Spadaro, 2013. "Would a euro's depreciation improve the French economy?," CEPN Working Papers hal-01515823, HAL.
    9. 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.
    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. Buchmann, Manuel, 2020. "The Effect of Demographic Change on the Swiss Labor Market: The Role of Participation Rates," Working papers 2020/10, Faculty of Business and Economics - University of Basel.
    12. 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.
    13. Eliane El Badaoui & Riccardo Magnani, 2020. "Tax Policies and Informality in South Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(3), pages 267-301, April.
    14. Benczúr, Péter & Kátay, Gábor & Kiss, Áron, 2018. "Assessing the economic and social impact of tax and benefit reforms: A general-equilibrium microsimulation approach applied to Hungary," Economic Modelling, Elsevier, vol. 75(C), pages 441-457.
    15. 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.
    16. 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.
    17. repec:elg:eechap:14395_2 is not listed on IDEAS
    18. 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.
    19. 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.

    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. Andreas PEICHL, 2008. "The Benefits of Linking CGE and Microsimulation Models - Evidence from a Flat Tax analysis," EcoMod2008 23800106, EcoMod.
    2. Andreas Peichl, 2009. "The benefits and problems of linking micro and macromodels - Evidence from a flat tax analysis," Journal of Applied Economics, Universidad del CEMA, vol. 12, pages 301-329, November.
    3. 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.
    4. 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.
    5. Clauss, Markus & Schubert, Stefanie, 2009. "The ZEW combined microsimulation-CGE model: innovative tool for applied policy analysis," ZEW Discussion Papers 09-062, ZEW - Leibniz Centre for European Economic Research.
    6. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    7. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    8. Andrew Feltenstein & Luciana Lopes & Janet Porras Mendoza & Sally Wallace, 2013. "“The Impact of Micro-simulation and CGE modeling on Tax Reform and Tax Advice in Developing Countries”: A Survey of Alternative Approaches and an Application to Pakistan," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1309, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    9. Vandyck, Toon & Van Regemorter, Denise, 2014. "Distributional and regional economic impact of energy taxes in Belgium," Energy Policy, Elsevier, vol. 72(C), pages 190-203.
    10. 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.
    11. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    12. Gantchev, Nickolay, 2013. "The costs of shareholder activism: Evidence from a sequential decision model," Journal of Financial Economics, Elsevier, vol. 107(3), pages 610-631.
    13. Essama-Nssah, B., 2008. "Assessing the redistributive effect of fiscal policy," Policy Research Working Paper Series 4592, The World Bank.
    14. Schaefer, Thilo & Peichl, Andreas, 2006. "Documentation FiFoSiM: integrated tax benefit microsimulation and CGE model," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 06-10, University of Cologne, FiFo Institute for Public Economics.
    15. Eckstein, Zvi & van den Berg, Gerard J., 2007. "Empirical labor search: A survey," Journal of Econometrics, Elsevier, vol. 136(2), pages 531-564, February.
    16. Dorothée Boccanfuso & Véronique Gosselin & Jonathan Goyette & Luc Savard & Clovis Tanekou Mangoua, 2014. "An impact analysis of climate change and adaptation policies on the forestry sector in Quebec. A dynamic macro-micro framework," Cahiers de recherche 14-04, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    17. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Cathal O’Donoghue (ed.), Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Publishing Ltd.
    18. Zvi Eckstein & Osnat Lifshitz, 2011. "Dynamic Female Labor Supply," Econometrica, Econometric Society, vol. 79(6), pages 1675-1726, November.
    19. Melanie Arntz, 2010. "What Attracts Human Capital? Understanding the Skill Composition of Interregional Job Matches in Germany," Regional Studies, Taylor & Francis Journals, vol. 44(4), pages 423-441.
    20. Benczúr, Péter & Kátay, Gábor & Kiss, Áron, 2018. "Assessing the economic and social impact of tax and benefit reforms: A general-equilibrium microsimulation approach applied to Hungary," Economic Modelling, Elsevier, vol. 75(C), pages 441-457.

    More about this item

    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:erm:papers:0809. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: https://edirc.repec.org/data/ermp2fr.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.