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Linking Microsimulation and CGE models

Author

Listed:
  • Andreas Peichl

    (ZEW, University of Mannheim, L7, 1, Mannheim, Germany)

Abstract
In this note, I review the history of CGE-Microsimulation modeling, and the main methodological issues involved.

Suggested Citation

  • Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    • Handle: RePEc:ijm:journl:v:9:y:2016:i:1:p:167-174
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    File URL: http://microsimulation.org/IJM/V9_1/IJM_9_1_2016_Peichl.pdf
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    References listed on IDEAS

    as
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    3. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
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    5. Peter B. Dixon & Dale Jorgenson (ed.), 2012. "Handbook of Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier, edition 1, volume 1, number 1.
    6. Olivier Bargain & Mathias Dolls & Clemens Fuest & Dirk Neumann & Andreas Peichl & Nico Pestel & Sebastian Siegloch, 2013. "Fiscal union in Europe? Redistributive and stabilizing effects of a European tax-benefit system and fiscal equalization mechanism [A strong employment agenda – the pathway to economic recovery]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 28(75), pages 375-422.
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    10. Olivier Bargain & Herwig Immervoll & Andreas Peichl & Sebastian Siegloch, 2012. "Distributional consequences of labor-demand shocks: the 2008–2009 recession in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 118-138, February.
    11. Peichl, Andreas & Siegloch, Sebastian, 2012. "Accounting for labor demand effects in structural labor supply models," Labour Economics, Elsevier, vol. 19(1), pages 129-138.
    12. Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution 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 1383-1437, Elsevier.
    13. 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.
    14. 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.
    15. Olivier Bargain & Kristian Orsini & Andreas Peichl, 2014. "Comparing Labor Supply Elasticities in Europe and the United States: New Results," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 723-838.
    16. Jane G. Gravelle, 2015. "Dynamic Scoring: Counterpoint," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(4), pages 979-981, September.
    17. 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.
    18. Holly Sutherland & Francesco Figari, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 4-26.
    19. Jane G. Gravelle, 2015. "Dynamic Scoring," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(4), pages 970-977, September.
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    22. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(3), pages 243-243, December.
    23. François Bourguignon & Maurizio Bussolo & John Cockburn, 2010. "Guest Editorial - Macro-micro analytics: background, motivation, advantages and remaining challenges," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 1-7.
    24. Verboven, Frank, 1996. "The nested logit model and representative consumer theory," Economics Letters, Elsevier, vol. 50(1), pages 57-63, January.
    25. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    26. 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.
    27. Stuart Adam & Antoine Bozio, 2009. "Dynamic scoring," OECD Journal on Budgeting, OECD Publishing, vol. 9(2), pages 1-26.
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    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. 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.
    3. Esteban García-Miralles & Nezih Guner & Roberto Ramos, 2019. "The Spanish personal income tax: facts and parametric estimates," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(3), pages 439-477, November.
    4. 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).
    5. Bart Capéau & André Decoster & Stijn Van Houtven, 2024. "Piecemeal Modeling of the Effects of Joint Direct and Indirect Tax Reforms," Public Finance Review, , vol. 52(1), pages 111-149, January.
    6. 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.
    7. Konstantins Benkovskis & Ludmila Fadejeva & Anna Pluta & Anna Zasova, 2023. "Keeping the best of two worlds: Linking CGE and microsimulation models for policy analysis," Working Papers 2023/01, Latvijas Banka.
    8. Steven Gronau & Etti Winter & Ulrike Grote, 2020. "Aquaculture, fish resources and rural livelihoods: a village CGE analysis from Namibia’s Zambezi Region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 615-642, February.

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    More about this item

    Keywords

    Microsimulation; CGE; linked micro macro models;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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