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FiFoSiM - an integrated tax benefit microsimulation and CGE model for Germany

Author

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  • Andreas Peichl

    (IZA Bonn, ISER and University of Cologne. IZA P.O. Box 7240, 53072 Bonn, Germany;)

  • Thilo Schaefer

    (Center for Public Economics, University of Cologne, Zuelpicher Str. 182, 50937 Cologne, Germany)

Abstract

This paper describes FiFoSiM, the integrated tax benefit microsimulation and computable general equilibrium (CGE) model of the Center of Public Economics at the University of Cologne. FiFoSiM consists of three main parts. The first part is a static tax benefit microsimulation module. The second part adds a behavioural component to the model; an econometrically estimated labour supply model. The third module is a CGE model which allows the user of FiFoSiM to assess the global economic effects of policy measures. Two specific features distinguish FiFoSiM from other tax benefit models: First, the simultaneous use of two databases for the tax benefit module and second, the linkage of the tax benefit model to a CGE model.

Suggested Citation

  • Andreas Peichl & Thilo Schaefer, 2009. "FiFoSiM - an integrated tax benefit microsimulation and CGE model for Germany," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 1-15.
    • Handle: RePEc:ijm:journl:v:2:y:2009:i:1:p:1-15
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    File URL: http://ima.natsem.canberra.edu.au/IJM/V2_1/IJM_2_1_1.pdf
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    Cited by:

    1. Andreas Peichl & Thilo Schaefer & Christoph Scheicher, 2010. "Measuring Richness And Poverty: A Micro Data Application To Europe And Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 597-619, September.
    2. Peichl, Andreas & Schneider, Hilmar & Siegloch, Sebastian, 2010. "Documentation IZA?MOD: The IZA Policy SImulation MODel," IZA Discussion Papers 4865, Institute of Labor Economics (IZA).
    3. Lars-H. R. Siemers, 2014. "A General Microsimulation Model for the EU VAT with a specific Application to Germany," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 40-93.
    4. 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.
    5. 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.
    6. Matteo Richiardi & John Cockburn & Hélène Maisonnave & Luca Tiberti, 2016. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 1-4.
    7. Jacopo Zotti & Rosita Pretaroli & Francesca Severini & Claudio Socci & Giancarlo Infantino, 2020. "Employment incentives and the disaggregated impact on the economy. The Italian case," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 993-1032, October.
    8. Cristina Borra & Almudena Sevilla & Jonathan Gershuny, 2013. "Calibrating Time-Use Estimates for the British Household Panel Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 1211-1224, December.
    9. Matteo Richiardi & John Cockburn & Helene Maisonnave & Luca Tiberti, 2016. "Editorial," Post-Print hal-02314206, HAL.

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