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The Benefits of Linking CGE and Microsimulation Models - Evidence from a Flat Tax analysis

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  • Andreas PEICHL

Abstract

Mircrosimulation models (MSM) and Computable General Equilibrium models (CGE) have both been widely used in policy analysis. The combination of these two model types allows the utilisation of the advantages of both types. The aim of this paper is to describe the state-of-the-art in simulation and to demonstrate the benefits of linking both model types modelling flat tax reform proposals for Germany. Taking the general equilibrium effects into account has important implications for the evaluation of a tax reform. The analysis shows that a personal income flat tax can indeed overcome the fundamental equity efficiency trade-off in the long-run while simultaneously increasing the tax revenue. However, this result does not hold for a flat tax combining a personal income flat tax with a corporate cash flow flat tax, even when allowing for an ex-post loss in revenue.
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  • Andreas PEICHL, 2008. "The Benefits of Linking CGE and Microsimulation Models - Evidence from a Flat Tax analysis," EcoMod2008 23800106, EcoMod.
    • Handle: RePEc:ekd:000238:23800106
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    3. Nolan, Matt, 2018. "Income-leisure preferences in New Zealand: 1988-2013," Working Paper Series 20841, Victoria University of Wellington, Chair in Public Finance.
    4. Nina Hetzer & Andreas Peichl, 2010. "Steuerstrukturreform trotz leerer Kassen?!," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(01), pages 28-35, January.
    5. Labandeira, Xavier & Labeaga, José M. & Rodríguez, Miguel, 2009. "An integrated economic and distributional analysis of energy policies," Energy Policy, Elsevier, vol. 37(12), pages 5776-5786, December.
    6. Leventi, Chrysa & Rastrigina, Olga & Sutherland, Holly, 2015. "Nowcasting: estimating developments in the risk of poverty and income distribution in 2013 and 2014," EUROMOD Working Papers EM12/15, EUROMOD at the Institute for Social and Economic Research.
    7. Qin Fan & Meri Davlasheridze, 2019. "Economic Impacts Of Migration And Brain Drain After Major Catastrophe: The Case Of Hurricane Katrina," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-21, February.
    8. Özhan Yılmaz & Ebru Voyvoda, 2017. "An Integrated General Equilibrium Model for Evaluating Demographic, Social and Economic Impacts of Transport Policies," ERC Working Papers 1706, ERC - Economic Research Center, Middle East Technical University, revised Jun 2017.
    9. van Sonsbeek, Jan-Maarten, 2010. "Micro simulations on the effects of ageing-related policy measures," Economic Modelling, Elsevier, vol. 27(5), pages 968-979, September.
    10. Leventi, Chrysa & Rastrigina, Olga & Sutherland, Holly & Vujackov, Sanja, 2016. "Nowcasting: estimating developments in median household income and risk of poverty in 2014 and 2015," EUROMOD Working Papers EM8/16, EUROMOD at the Institute for Social and Economic Research.
    11. Wolfgang Franz & Nicole Guertzgen & Stefanie Schubert & Markus Clauss, 2012. "Assessing the employment effects of the German welfare reform -- an integrated CGE-microsimulation approach," Applied Economics, Taylor & Francis Journals, vol. 44(19), pages 2403-2421, July.
    12. Binjian, Binjian & Sakamoto, Hiroshi, 2013. "Market Reform and Income Distribution in China : A CGE–Microsimulation Approach," AGI Working Paper Series 2013-13, Asian Growth Research Institute.

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    18. Clemens Fuest & Andreas Peichl & Thilo Schaefer, 2008. "Is a flat tax reform feasible in a grown-up democracy of Western Europe? A simulation study for Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(5), pages 620-636, October.
    19. 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.
    20. 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.

    More about this item

    JEL classification:

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

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