IDEAS home Printed from https://ideas.repec.org/p/bdi/wptemi/td_777_10.html
   My bibliography  Save this paper

Income reporting behaviour in sample surveys

Author

Listed:
  • Andrea Neri

    (Bank of Italy, Economics, Research and International Relations area)

  • Roberta Zizza

    (Bank of Italy, Economics, Research and International Relations area)

Abstract

This paper analyses respondents' behaviour when reporting their income sources in sample surveys and presents a method to deal with response error. Survey data relating to the number of earning recipients and to amounts received are validated using external information from administrative and statistical sources. Our findings suggest that the response bias on household income is about 12 per cent of reported figures. Misreporting is particularly severe for income from self-employment, financial assets and rents, as well as from secondary jobs. As to the distribution of response error, about 15 per cent of respondents show a high probability of misreporting. Misreporting is more diffuse among males, the older, the self-employed and respondents at the higher end of the earnings distribution.

Suggested Citation

  • Andrea Neri & Roberta Zizza, 2010. "Income reporting behaviour in sample surveys," Temi di discussione (Economic working papers) 777, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:td_777_10
    as

    Download full text from publisher

    File URL: http://www.bancaditalia.it/pubblicazioni/temi-discussione/2010/2010-0777/en_tema_777.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrea Brandolini, 1999. "The Distribution of Personal Income in Post-War Italy: Source Description, Data Quality, and the Time Pattern of Income Inequality," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 58(2), pages 183-239, September.
    2. Christopher R. Bollinger & Martin H. David, 2005. "I didn't tell, and I won't tell: dynamic response error in the SIPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 563-569, May.
    3. Pudney, Stephen, 2008. "Heaping and leaping: survey response behaviour and the dynamics of self-reported consumption expenditure," ISER Working Paper Series 2008-09, Institute for Social and Economic Research.
    4. Yingyao Hu & Arthur Lewbel & Susanne M. Schennach, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," CeMMAP working papers CWP14/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Pudney, Stephen & Yee Kan, Â Man, 2007. "Measurement error in stylised and diary data on time use," ISER Working Paper Series 2007-03, Institute for Social and Economic Research.
    6. Ivan Faiella & Romina Gambacorta, 2007. "The Weighting Process in the SHIW," Temi di discussione (Economic working papers) 636, Bank of Italy, Economic Research and International Relations Area.
    7. Giovanni D'Alessio & Ivan Faiella, 2002. "Non-response behaviour in the Bank of Italy�s Survey of Household Income and Wealth," Temi di discussione (Economic working papers) 462, Bank of Italy, Economic Research and International Relations Area.
    8. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    9. Pissarides, Christopher A. & Weber, Guglielmo, 1989. "An expenditure-based estimate of Britain's black economy," Journal of Public Economics, Elsevier, vol. 39(1), pages 17-32, June.
    10. Claudia Biancotti & Giovanni D'Alessio & Andrea Neri, 2008. "Measurement Error In The Bank Of Italy'S Survey Of Household Income And Wealth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 466-493, September.
    11. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
    12. Leandro D�Aurizio & Ivan Faiella & Stefano Iezzi & Andrea Neri, 2006. "The under-reporting of financial wealth in the Survey on Household income and Wealth," Temi di discussione (Economic working papers) 610, Bank of Italy, Economic Research and International Relations Area.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giovanni D’Alessio & Stefano Iezzi, 2013. "Household over-indebtedness - Definition and measurement with Italian data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 496-517, Bank for International Settlements.
    2. M. Rosaria Marino & Roberta Zizza, 2012. "Personal Income Tax Evasion in Italy: An Estimate by Taxpayer Type," Chapters, in: Michael Pickhardt & Aloys Prinz (ed.), Tax Evasion and the Shadow Economy, chapter 3, Edward Elgar Publishing.
    3. M. Giovanna Ranalli & Alina Matei & Andrea Neri, 2023. "Generalised calibration with latent variables for the treatment of unit nonresponse in sample surveys," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 169-195, March.
    4. Glenn Abela & William Gatt, "undated". "Who are the (dis)savers? A look at household saving patters and wealth composition in Malta," CBM Policy Papers PP/01/2022, Central Bank of Malta.
    5. Torregrosa-Hetland, Sara, 2016. "Sticky Income Inequality In The Spanish Transition (1973-1990)," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 34(1), pages 39-80, March.
    6. Giovanni D'Alessio & Andrea Neri, 2015. "Income and wealth sample estimates consistent with macro aggregates: some experiments," Questioni di Economia e Finanza (Occasional Papers) 272, Bank of Italy, Economic Research and International Relations Area.
    7. Chakravorty, Swastika & Goli, Srinivas, 2021. "Family Structure, Economic Outcomes and Perceived Change in Economic Well-being in India," OSF Preprints 23kvs, Center for Open Science.
    8. Jordi Muñoz, 2021. "The Catalan Syndrome? Revisiting the Relationship Between Income and Support for Independence in Catalonia," Politics and Governance, Cogitatio Press, vol. 9(4), pages 376-385.
    9. Carlo D’Ippoliti & Fabrizio Botti, 2017. "Sex Work among Trans People: Evidence from Southern Italy," Feminist Economics, Taylor & Francis Journals, vol. 23(3), pages 77-109, July.
    10. Stefanie Gerold & Matthias Nocker, 2015. "Reduction of Working Time in Austria. A Mixed Methods Study Relating a New Work Time Policy to Employee Preferences. WWWforEurope Working Paper No. 97," WIFO Studies, WIFO, number 58139, February.
    11. Giulia Cifaldi & Andrea Neri, 2013. "Asking income and consumption questions in the same survey: what are the risks?," Temi di discussione (Economic working papers) 908, Bank of Italy, Economic Research and International Relations Area.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giovanni D'Alessio & Andrea Neri, 2015. "Income and wealth sample estimates consistent with macro aggregates: some experiments," Questioni di Economia e Finanza (Occasional Papers) 272, Bank of Italy, Economic Research and International Relations Area.
    2. Andrea Neri & Maria Giovanna Ranalli, 2012. "To misreport or not to report? The measurement of household financial wealth," Temi di discussione (Economic working papers) 870, Bank of Italy, Economic Research and International Relations Area.
    3. Carlo V Fiorio & Francesco D'Amuri, 2005. "Workers' Tax Evasion in Italy," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 64(2-3), pages 247-270, November.
    4. Lidia CERIANI & Carlo V. FIORIO & Chiara GHIGLIARANO, 2013. "The importance of choosing the data set for tax-benefit analysis," Departmental Working Papers 2013-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    5. Craig Gundersen & Brent Kreider, 2008. "Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error?," Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 352-382.
    6. Andrea Brandolini & Luigi Cannari & Giovanni D’Alessio & Ivan Faiella, 2006. "Household Wealth Distribution in Italy in the 1990s," Chapters, in: Edward N. Wolff (ed.), International Perspectives on Household Wealth, chapter 7, Edward Elgar Publishing.
    7. Lidia Ceriani & Carlo V. Fiorio & Chiara Gigliarano, 2013. "The importance of choosing the data set for tax-benefit analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 86-121.
    8. 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.
    9. Carlo Vittorio FIORIO, 2008. "Understanding Italian inequality trends: a simulation-based decomposition," Departmental Working Papers 2008-26, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    10. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 23-50, National Bureau of Economic Research, Inc.
    11. 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.
    12. Andrea Bastianin & Paolo Castelnovo & Massimo Florio, 2017. "The Empirics of Regulatory Reforms Proxied by Categorical Variables: Recent Findings and Methodological Issues," Working Papers 2017.22, Fondazione Eni Enrico Mattei.
    13. Robert Paul Hartley & Carlos Lamarche & James P. Ziliak, 2022. "Welfare Reform and the Intergenerational Transmission of Dependence," Journal of Political Economy, University of Chicago Press, vol. 130(3), pages 523-565.
    14. Sonja C. Kassenboehmer & Stefanie Schurer, 2018. "Survey item-response behavior as an imperfect proxy for unobserved ability: Theory and application," Working Papers 2018-035, Human Capital and Economic Opportunity Working Group.
    15. Andrea Neri, 2009. "Measuring wealth mobility," Temi di discussione (Economic working papers) 703, Bank of Italy, Economic Research and International Relations Area.
    16. Giuseppe Cappelletti, 2012. "Do wealth fluctuations generate time-varying risk aversion? Italian micro-evidence on household asset allocation," Temi di discussione (Economic working papers) 845, Bank of Italy, Economic Research and International Relations Area.
    17. Giulia Cifaldi & Andrea Neri, 2013. "Asking income and consumption questions in the same survey: what are the risks?," Temi di discussione (Economic working papers) 908, Bank of Italy, Economic Research and International Relations Area.
    18. Daniele Checchi & Giovanni Bono, 2001. "La disuguaglianza a Milano negli anni '90," Departmental Working Papers 2001-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    19. Daniele Checchi & Laura Pagani, 2005. "The effects of unions on wage inequality. The Italian case in the 1990s," Politica economica, Società editrice il Mulino, issue 1, pages 43-70.
    20. Mario Jametti & Thomas von Ungern-Sternberg, 2005. "Assessing the Efficiency of an Insurance Provider—A Measurement Error Approach," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 30(1), pages 15-34, June.

    More about this item

    Keywords

    income distribution; response error; item response theory; SHIW; data accuracy.;
    All these keywords.

    JEL classification:

    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:wptemi:td_777_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.