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Tax evasion and misreporting in income tax returns and household income surveys

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  • Massimo Baldini
  • Paolo Bosi
  • Michele Lalla

Abstract

This paper studies tax evasion and misreporting by comparing data from income tax files and a survey of household incomes, both relative to a medium-size Italian town. The novelty of our approach lies in the use of individual microdata, obtained by "exact matching" between the two data sources. As usual, the adopted proxy for tax evasion is the difference between survey income and tax-declared income. Our results lend support to the widely shared belief that in Italy the propensity to evade is higher among the self-employed. However, our findings do not bear out the existence, which emerged in previous studies, of a negative relationship between tax evasion and income levels. Underreporting seems to be concentrated in the lowest income deciles, while the level of tax evasion is higher at the top of the income distribution. Notwithstanding the reliability of the statistical base, our results must be accepted with caution, as the measure of tax evasion adopted is not able to make a clear distinction between evasion and misreporting.

Suggested Citation

  • Massimo Baldini & Paolo Bosi & Michele Lalla, 2009. "Tax evasion and misreporting in income tax returns and household income surveys," Politica economica, Società editrice il Mulino, issue 3, pages 333-348.
  • Handle: RePEc:mul:je8794:doi:10.1429/30792:y:2009:i:3:p:333-348
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    Citations

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    Cited by:

    1. Felix Schmutz, 2016. "Measuring the Invisible: An Overview of and Outlook for Tax Non-Compliance Estimates and Measurement Methods for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(II), pages 125-177, June.
    2. Paulus, Alari, 2015. "Tax evasion and measurement error: An econometric analysis of survey data linked with tax records," ISER Working Paper Series 2015-10, Institute for Social and Economic Research.
    3. Péter Elek & János Köllő, 2019. "Eliciting permanent and transitory undeclared work from matched administrative and survey data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(3), pages 547-576, August.
    4. Cerniauskas Nerijus & Jousten Alain, 2021. "Statutory, effective, and optimal net tax schedules in Lithuania," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-33, May.
    5. Ana Cinta G Cabral & Christos Kotsogiannis & Gareth Myles, 2019. "Self-Employment Income Gap in Great Britain: How Much and Who?," CESifo Economic Studies, CESifo Group, vol. 65(1), pages 84-107.
    6. Felix Schmutz, 2016. "Measuring the Invisible: An Overview of and Outlook for Tax Non-Compliance Estimates and Measurement Methods for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 152(2), pages 125-177, April.
    7. Michele Lalla & Patrizio Frederic & Daniela Mantovani, 2022. "The inextricable association of measurement errors and tax evasion as examined through a microanalysis of survey data matched with fiscal data: a case study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1375-1401, December.
    8. Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    9. Ana Cinta G. Cabral & Norman Gemmell & Nazila Alinaghi, 2021. "Are survey-based self-employment income underreporting estimates biased? New evidence from matched register and survey data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(2), pages 284-322, April.
    10. Maddalena Cavicchioli & Michele Lalla, 2022. "Evidences from survey data and fiscal data: nonresponse and measurement errors in annual incomes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 587-615, September.
    11. Marco Manzo & Daniela Tellone, 2020. "Economic and Fiscal Additionality in Italian Tax Credit on Dwellings Renovation," Working Papers wp2020-7, Ministry of Economy and Finance, Department of Finance.
    12. Søndergaard, J., 2023. "Undeclared Danish Labor: Using the labor input method with linked individual-level tax data to estimate undeclared work in Denmark," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 708-730.
    13. Andrea Albarea & Michele Bernasconi & Anna Marenzi & Dino Rizzi, 2020. "Income Underreporting and Tax Evasion in Italy: Estimates and Distributional Effects," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 904-930, December.

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