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Wie wirken Änderungen von Pendlerpauschale und Werbungskostenpauschale?: Ein Mikrosimulationsmodell

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  • Gerhard Wagenhals
  • Jürgen Buck

Abstract

Based on a representative data set of more than 36 000 original tax report extracts, we develop a microsimulation model that calculates the fiscal impact of changes in the area of tax deductible work-related expenses, in particular expenses for travelling from private home to the place of work, in Germany. The new model allows a more accurate estimation of the fiscal impact of changes in the German income tax law than previously possible and thus facilitates an informed evaluation of tax policy options. Die vorliegende Arbeit dokumentiert ein neues Mikrosimulationsmodell für Werbungskosten, das im Auftrag des Bundesministeriums der Finanzen entwickelt wurde und das einige Schwierigkeiten bisheriger Werbungskostenmodelle durch Einsatz moderner statistischer Verfahren überwindet. Das neue Modell erweist sich als flexibles, leicht zu handhabendes Instrument zur Quantifizierung der kurzfristigen Aufkommens- und Verteilungswirkungen von Steuerreformen. Wir wenden es zur Analyse der Effekte wichtiger Änderungen des Einkommensteuergesetzes ab 1. Januar 2007 sowie einer Reihe von Alternativvorschlägen für die Abzugsfähigkeit von Werbungskosten an.

Suggested Citation

  • Gerhard Wagenhals & Jürgen Buck, 2008. "Wie wirken Änderungen von Pendlerpauschale und Werbungskostenpauschale?: Ein Mikrosimulationsmodell," SOEPpapers on Multidisciplinary Panel Data Research 83, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp83
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    References listed on IDEAS

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    1. 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.
    2. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    3. Jutta Kloas & Hartmut Kuhfeld, 2003. "Entfernungspauschale: Bezieher hoher Einkommen begünstigt: aktuelle Ergebnisse zum Verkehrsverhalten privater Haushalte," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 70(42), pages 623-629.
    4. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
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    More about this item

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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