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De facto anonymised microdata file on income tax statistics 1998

Author

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  • Merz, Joachim
  • Vorgrimler, Daniel
  • Zwick, Markus

Abstract

With the data of the de facto anonymised Income Tax Statistics 1998 (FAST 98), the German official statistics are for the first time publishing microdata from the field of fiscal statistics. The scientific community can use these data to analyse politically-relevant questions on the fiscal and transfer system at their own workplace, subject to the premises of article 16 subsection 6 of the Law on Statistics for Federal Purposes, on the basis of "real" assessment data. Passing on individual data to the scientific community is only possible in a de facto anonymised form. This form may impair possibilities for scientific analysis possibilities. So that anonymised data can nevertheless be used by the scientific community, anonymisation must meet two equal challenges: It must firstly guarantee adequate protection of the individual items of data, and secondly it must optimally conserve the possibilities for analysis of the anonymised data. In order to achieve the right balance between these two goals, the Statistical Offices have involved potential scientific users in the anonymisation work in a research project.In the article entitled "De facto anonymised microdata file on income tax statistics 1998", in addition to the anonymisation concept the framework conditions of the project are explained and the analysis possibilities of income tax statistics demonstrated.

Suggested Citation

  • Merz, Joachim & Vorgrimler, Daniel & Zwick, Markus, 2006. "De facto anonymised microdata file on income tax statistics 1998," MPRA Paper 5740, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:5740
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    6. de Kam, C. A. & de Haan, J. & Giles, C. & Manresa, A. & Berenguer, E. & Calonge, S., 1996. "Who pays the taxes?," MPRA Paper 7146, University Library of Munich, Germany.
      • C. A. de Kam & J. de Haan & C. Giles & A. Manresa & E. Berenguer & S. Calonge & J. Merz, 1996. "Who pays the taxes?," FFB-Discussionpaper 18, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    7. Stefan Bach & Bernd Bartholmai, 2000. "Möglichkeiten zur Modellierung hoher Einkommen auf Grundlage der Einkommensteuerstatistik," Discussion Papers of DIW Berlin 212, DIW Berlin, German Institute for Economic Research.
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    Cited by:

    1. Martin Jacob & Rainer Niemann & Martin Weiss, 2008. "The Rich Demystified - A Reply to Bach, Corneo, and Steiner (2008)," CESifo Working Paper Series 2478, CESifo.
    2. Ulrich Kaiser & Joachim Wagner, 2008. "Neue Möglichkeiten zur Nutzung vertraulicher amtlicher Personen‐ und Firmendaten," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 329-349, August.
    3. Markus Zwick, 2008. "CAMPUS-Files – Kostenfreie Public Use Files für die Lehre," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 2(1), pages 175-188, August.
    4. Johannes Hermle & Andreas Peichl, 2018. "Jointly Optimal Taxes for Different Types of Income," CESifo Working Paper Series 7248, CESifo.
    5. Maximilian Joseph Blömer & Andreas Peichl, 2020. "The ifo Tax and Transfer Behavioral Microsimulation Model," ifo Working Paper Series 335, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

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    More about this item

    Keywords

    microdata; de facto anonymization; income tax statistic;
    All these keywords.

    JEL classification:

    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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