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Identifying firms' tax loss carry-forward status: The accuracy of database-ariven methods

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  • Rechbauer, Martina

Abstract

Due to data restrictions, empirical tax research commonly relies on database-driven methods as a means of identifying firms' tax loss carry-forward (TLCF) status. Employing a panel of listed Italian parent companies, I am the first to empirically examine the accuracy of database-driven methods in predicting the availability and the amount of TLCF at single-firm level. In order to assess the accuracy of database-driven identification methods, I compare firms' true TLCF status, as determined based on IFRS statement information, to the TLCF status predictions of the methods examined. I find that database-driven methods do not perform well in predicting the availability of TLCF. They perform poorly in predicting the amount of TLCF available to firms. Empirical studies that rely on database-driven identification methods might thus not be able to derive reliable results regarding the impact of TLCF. My findings thus indicate that there is a strong need for firm-specific TLCF information provided by local authorities in empirical tax research.

Suggested Citation

  • Rechbauer, Martina, 2016. "Identifying firms' tax loss carry-forward status: The accuracy of database-ariven methods," arqus Discussion Papers in Quantitative Tax Research 201, arqus - Arbeitskreis Quantitative Steuerlehre.
  • Handle: RePEc:zbw:arqudp:201
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    1. MacKie-Mason, Jeffrey K, 1990. "Do Taxes Affect Corporate Financing Decisions?," Journal of Finance, American Finance Association, vol. 45(5), pages 1471-1493, December.
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    3. Michael Overesch & Dennis Voeller, 2010. "The Impact of Personal and Corporate Taxation on Capital Structure Choices," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 66(3), pages 263-294, September.
    4. Michael Overesch & Georg Wamser, 2010. "Corporate tax planning and thin-capitalization rules: evidence from a quasi-experiment," Applied Economics, Taylor & Francis Journals, vol. 42(5), pages 563-573.
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    More about this item

    Keywords

    identification; tax loss carry-forwards; database-driven methods;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • K34 - Law and Economics - - Other Substantive Areas of Law - - - Tax Law

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