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The inextricable association of measurement errors and tax evasion as examined through a microanalysis of survey data matched with fiscal data: a case study

Abstract

Individual records referring to personal interviews conducted for a survey on income in Modena during 2012 and tax year 2011 were matched with the corresponding records in the Italian Ministry of Finance databases containing fiscal income data for tax year 2011. The analysis of the resulting data set suggested that the fiscal income data were generally more reliable than the surveyed income data. Moreover, the obtained data set enabled identification of the factors determining over- and under-reporting, as well as measurement errors, through a comparison of the surveyed income data with the fiscal income data, only for suitable categories of interviewees, that is, taxpayers who are forced to respect the tax laws (the public sector) and taxpayers who have many evasion options (the private sector). The percentage of under-reporters (67.3%) was higher than the percentage of over-reporters (32.7%). Level of income, age, and education were the main regressors affecting measurement errors and the behaviours of tax evaders. Tax evasion and the impacts of personal factors affecting evasion were evaluated using various approaches. The average tax evasion amounted to 26.0% of the fiscal income. About 10% of the sample was made up of possible total tax evaders.

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References

  • Abowd JM, Stinson MH (2013) Estimating measurement error in annual job earnings: a comparison of survey and administrative data. Rev Econ Stat 95(5):1451–1467

    Article  Google Scholar 

  • Allingham MG, Sandmo A (1972) Income tax evasion: a theoretical analysis. J Public Econ 1(3–4):323–338

    Article  Google Scholar 

  • Alm J (2012) Measuring, explaining, and controlling tax evasion: lessons from theory, experiments, and field studies. Int Tax Public Financ 19(1):54–77

    Article  Google Scholar 

  • Alm J, Bernasconi M, Laury S, Lee DJ, Wallace S (2017) Culture, compliance, and confidentiality: taxpayer behavior in the United States and Italy. J Econ Behav Organ 140:176–196

    Article  Google Scholar 

  • Baldini M, Bosi P, Lalla M (2009) Tax evasion and misreporting in income tax returns and household income surveys. Politica Economica XXV(3):333–348

    Google Scholar 

  • Banca d’Italia (2014) I bilanci delle famiglie italiane nell’anno 2012. Supplementi al bollettino statistico, Nuova serie, anno XXIV, no. 5. Banca d’Italia, Roma

  • Bancroft G (1940) Consistency of information from records and interview. J Am Stat Assoc 35(210):377–381 (Part 1)

    Article  Google Scholar 

  • Benedek D, Lelkes O (2011) The distributional implications of income under-reporting in Hungary. Fisc Stud 32(4):539–560

    Article  Google Scholar 

  • Biancotti C, D’Alessio G, Neri A (2004) Errori di misura nell’indagine sui bilanci delle famiglie italiane. Temi di discussione, no. 520. Banca d’Italia, Roma

  • Bingley P, Martinello A (2017) Measurement error in income and schooling and the bias of linear estimators. J Labor Econ 35(4):1117–1148

    Article  Google Scholar 

  • Bloomquist KM, Hamilton S, Pope J (2014) Estimating Corporation Income Tax Under-Reporting Using Extreme Values from Operational Audit Data. Fiscal Stud 35(4):401–419

    Article  Google Scholar 

  • Bollinger CR (1998) Measurement error in the current population survey: a nonparametric look. J Labor Econ 16(3):576–594

    Article  Google Scholar 

  • Bollinger CR, Hirsch BT (2013) Is earnings nonresponse ignorable? Rev Econ Stat 95(2):407–416

    Article  Google Scholar 

  • Bollinger CR, Hirsch BT, Hokayem CM, Ziliak JP (2019) Trouble in the Tails? what we know about earnings nonresponse 30 years after Lillard, Smith, and Welch. J Polit Econ 127(5):2143–2185

    Article  Google Scholar 

  • Bordignon M, Zanardi A (1997) Tax evasion in Italy. Giornale Degli Economisti e Annali Di Economia 56(3/4):169–210

    Google Scholar 

  • Bound J, Krueger AB (1991) The extent of measurement error in longitudinal earnings data: do two wrongs make a right? J Labor Econ 9(1):1–24

    Article  Google Scholar 

  • Bound J, Brown C, Mathiowetz N (2001) Measurement error in survey data. In: Heckman JJ, Leamer E (eds) Handbook of econometrics, vol 5. Elsevier, Amsterdam, pp 3705–3843

    Chapter  Google Scholar 

  • Brosio G, Cassone A, Ricciuti R (2002) Tax evasion across Italy: rational noncompliance or inadequate civic concern? Public Choice 112(3/4):259–273

    Article  Google Scholar 

  • Cowell FA (1985) The economic analysis of tax evasion. Bull Econ Res 37:163–189

    Article  Google Scholar 

  • D’Alessio G, Faiella I (2002) Non-response behaviour in the Bank of Italy’s Survey of household income and wealth. Temi di discussione, no. 462. Banca d’Italia, Roma

  • Fiorio CV, D’Amuri F (2005) Workers’ tax evasion in Italy. Giornale Degli Economisti e Annali Di Economia 64(2/3):247–270

    Google Scholar 

  • Friedland N, Maital S, Rutenberg A (1978) A simulation study of income tax evasion. J Public Econ 10(1):107–116

    Article  Google Scholar 

  • Hariri JG, Lassen DD (2017) Income and outcomes social desirability bias distorts measurements of the relationship between income and political behavior. Public Opin Q 81(2):564–576

    Article  Google Scholar 

  • Hofmann E, Voracek M, Bock C, Kirchler E (2017) Tax compliance across sociodemographic categories: meta-analyses of survey studies in 111 countries. J Econ Psychol 62:63–71

    Article  Google Scholar 

  • Hüfken V (2010) Supplementary questionnaire and nonresponse-results from the German ISSP survey. Qual Quant 44(4):607–622

    Article  Google Scholar 

  • Hurd M, Juster FT, Smith JP (2003) Enhancing the quality of data on income. J Hum Resour 38(3):758–772

    Article  Google Scholar 

  • Hurst E, Li G, Pugsley B (2014) Are household surveys like tax forms? Evidence from income underreporting of the self-employed. Rev Econ Stat 96(1):19–33

    Article  Google Scholar 

  • Istat (2001) Classificazione delle professioni. In: Scarnera C (ed) Collana Metodi e Norme, no. 12. Istat, Roma

  • Istat (2006) La rilevazione sulle forze di lavoro: contenuti, metodologie, organizzazione. In: Gazzelloni S (ed) Collana Metodi e Norme, no. 32. Istat, Roma

  • Jäntti M (2004) The effect of measurement errors, non-response, and attrition on income inequality, poverty and mobility. In: Ehling M, Rendtel U (eds) Harmonisation of panel surveys and data quality. Statistisches Bundesamt, Wiesbaden, pp 89–116

    Google Scholar 

  • Kapteyn A, Ypma JY (2007) Measurement error and misclassification: a comparison of survey and administrative data. J Labor Econ 25(3):513–551

    Article  Google Scholar 

  • Lalla M, Ferrari D, Frederic P (2012) Unit nonresponse errors in income surveys: a case study. Qual Quant 46(6):1769–1794

    Article  Google Scholar 

  • Lalla M, Mantovani D, Frederic P (2019) Measurement errors and tax evasion in annual incomes: evidence from survey data matched with fiscal data. DEMB Working Papers, no. 140, February. University of Modena and Reggio Emilia, Department of Economics “Marco Biagi” (DEMB), Modena

  • Leventi C, Matsaganis M, Flevotomou M (2013) Distributional implications of tax evasion and the crisis in Greece. EUROMOD Working Paper, no. EM17/13

  • Matsaganis M, Flevotomou M (2010) Distributional implications of tax evasion in Greece. Hellenic Observatory Papers on Greece and Southeast Europe, GreeSE Paper, No. 31. The Hellenic Observatory, LSE (London School of Economics), London

  • MEF, Ministry of Economics and Finance (2018) Relazione sull’economia non osservata e sull’evasione fiscale e contributiva anno 2018. http://www.mef.gov.it/documenti-pubblicazioni/doc-finanza-pubblica/index.html#cont1. Accessed 26 Oct 2018

  • Meijer E, Rohwedder S, Wansbeek T (2012) Measurement error in earnings data: using a mixture model approach to combine survey and register data. J Bus Econ Stat 30(2):191–201

    MathSciNet  Google Scholar 

  • Mellow W, Sider H (1983) Accuracy of response in labor market surveys: evidence and implications. J Labor Econ 1(4):331–344

    Article  Google Scholar 

  • Messacar D (2017) Big tax data and economic analysis: effects of personal income tax reassessments and delayed tax filing. Can Public Policy 43(3):261–283

    Article  Google Scholar 

  • Moore JC, Stinson LL, Welniak EJ Jr (2000) Income measurement error in surveys: a review. J off Stat 16(4):331–361

    Google Scholar 

  • NACE Rev. 2 (2008) Statistical classification of economic activities in the European Community. Luxembourg: Office for Official Publications of the European Communities. https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-RA-07-015?inheritRedirect=true. Accessed 20 Oct 2018

  • Paulus A (2015) Tax evasion and measurement error: an econometric analysis of survey data linked with tax records. ISER Working Paper Series, No. 2015–10. Institute for Social and Economic Research, University of Essex, Essex, UK

  • Peracchi F (2002) The European community household panel: a review. Empir Econ 27(1):63–90

    Article  Google Scholar 

  • Phillips MD (2014) Individual income tax compliance and information reporting: what do the US data show? Natl Tax J 67(3):531–568

    Article  Google Scholar 

  • Pickhardt M, Prinz A (2014) Behavioral dynamics of tax evasion—a survey. J Econ Psychol 40:1–19

    Article  Google Scholar 

  • Shaw J, Slemrod J, Whiting J (2010) Administration and compliance. In: Mirrlees JA, Adam S, Besley T, Blundell R, Bond S, Chote R, Gammie M, Johnson P, Myles G, Poterba J (eds) Dimensions of tax design: the Mirrlees review (cap 12, 1100–1162). Oxford University Press, Oxford

    Google Scholar 

  • Slemrod J (2007) Cheating ourselves: the economics of tax evasion. J Econ Perspect 21(1):24–48

    Article  Google Scholar 

  • Torgler B (2003) Tax morale, rule-governed behaviour and trust. Const Polit Econ 14(2):119–140

    Article  Google Scholar 

  • Tourangeau R, Rips LJ, Rasinki K (2000) The psychology of survey response. Cambridge University Press, Cambridge

    Book  Google Scholar 

Download references

Acknowledgements

The authors are grateful to Giovanni Bigi, an officer of the Statistics Department of the Municipality of Modena, who contributed to building up the final data set using administrative records.

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Correspondence to Michele Lalla.

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Lalla, M., Frederic, P. & Mantovani, D. The inextricable association of measurement errors and tax evasion as examined through a microanalysis of survey data matched with fiscal data: a case study. Stat Methods Appl (2022). https://doi.org/10.1007/s10260-022-00633-6

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  • DOI: https://doi.org/10.1007/s10260-022-00633-6

Keywords

  • Fiscal income
  • Surveyed income
  • Response bias
  • Under-reporting
  • Over-reporting
  • Administrative data

JEL Classification

  • C46
  • D31
  • H26