IDEAS home Printed from https://ideas.repec.org/p/mil/wpdepa/2013-05.html
   My bibliography  Save this paper

The importance of choosing the data set for tax-benefit analysis

Author

Listed:
  • Lidia CERIANI
  • Carlo V. FIORIO
  • Chiara GHIGLIARANO

Abstract

Given the increased availability of survey income data, in this paper we analyse the pros and cons of alternative data sets for static tax-benefit microsimulation in Italy. We focus on all possible alternatives, namely using (a) SHIW or (b) IT-SILC data using a consistent net- to-gross microsimulation model, or (c) using the gross incomes provided in IT-SILC since 2007. Our results suggest that IT-SILC improves in the regional representativeness of the Italian population and does not perform worse than SHIW as for most demographic characteristics, SHIW provides more information regarding building and real estate incomes. Gross income variables simulated by using the net-to-gross procedure provided in the TABEITA microsimulation model and calibrating for tax evasion, provide a very precise fit with external statistics, improving on results which could be obtained using the same TABEITA model on harmonized SHIW data. Simulated IT-SILC gross income data fit external aggregate data even better than gross income data provided in IT-SILC, which tend to largely overestimate self-employment income. Finally, we suggest to match IT-SILC with SHIW to include in the former the information on building and real estate incomes that are contained only in the latter. This allows us to reach a very satisfactory validation of the final data set.

Suggested Citation

  • 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.
  • Handle: RePEc:mil:wpdepa:2013-05
    as

    Download full text from publisher

    File URL: http://wp.demm.unimi.it/files/wp/2013/DEMM-2013_05wp.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Holly Sutherland, 1991. "Constructing A Tax‐Benefit Model: What Advice Can One Give?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 37(2), pages 199-219, June.
    2. Stephen Pudney & Monica Hernandez & Ruth Hancock, 2007. "The welfare cost of means-testing: pensioner participation in income support," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 581-598.
    3. Paul Bernd Spahn & Mark Pearson (ed.), 1998. "Tax Modelling for Economies in Transition," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-14109-8, December.
    4. Sutherland, Holly, 2001. "EUROMOD: an integrated European benefit-tax model: final report," EUROMOD Working Papers EM9/01, EUROMOD at the Institute for Social and Economic Research.
    5. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, January.
    6. Coulter, Coulter & Lawson, Lawson & Stephen Smith & Christopher Heady & Graham Stark, 1995. "Microsimulation modelling of personal taxation and social security benefits in the Czech Republic," IFS Working Papers W95/08, Institute for Fiscal Studies.
    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. 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.
    9. Orsolya Lelkes, 2007. "Research Note - Tax-Benefit Microsimulation Models In Eastern Europe," International Journal of Microsimulation, International Microsimulation Association, vol. 1(1), pages 54-56.
    10. Sutherland, H., 1995. "Static Microsimulation Models in Europe: A Survey," Cambridge Working Papers in Economics 9523, Faculty of Economics, University of Cambridge.
    11. Gianni Betti & Gabriella Donatiello & Vijay Verma, 2011. "The siena microsimulation model (sm2) for net-gross conversion of eu-silc income variables," International Journal of Microsimulation, International Microsimulation Association, vol. 4(1), pages 35-53.
    12. Fiona Coulter & Christopher Heady & Colin Lawson & Stephen Smith & Graham Stark, 1998. "Microsimulation Model of Personal Tax and Social Security Benefits in the Czech Republic," Palgrave Macmillan Books, in: Paul Bernd Spahn & Mark Pearson (ed.), Tax Modelling for Economies in Transition, chapter 11, pages 163-189, Palgrave Macmillan.
    13. Kaminska, Olena & Iacovou, Maria & Levy, Horacio, 2012. "Using EU-SILC data for cross-national analysis: strengths, problems and recommendations," ISER Working Paper Series 2012-03, Institute for Social and Economic Research.
    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. Sarah Kuypers & Francesco Figari & Gerlinde Verbist & Dorien Verckist, 2017. "EWIGE - European Wealth data InteGration in EUROMOD," JRC Working Papers on Taxation & Structural Reforms 2017-04, Joint Research Centre (Seville site).
    2. Doorley, Karina & Callan, Tim & Savage, Michael, 2018. "Inequality in EU crisis countries. How effective were automatic stabilisers?," EUROMOD Working Papers EM10/18, EUROMOD at the Institute for Social and Economic Research.
    3. Holly Sutherland & Francesco Figari, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 4-26.
    4. Olivier Bargain, 2017. "Welfare analysis and redistributive policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(4), pages 393-419, December.
    5. Nicola Curci & Marco Savegnago & Marika Cioffi, 2017. "BIMic: the Bank of Italy microsimulation model for the Italian tax and benefit system," Questioni di Economia e Finanza (Occasional Papers) 394, 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. 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.
    2. O'Donoghue, Cathal & Immervoll, Herwig, 2001. "Towards a multi purpose framework for tax benefit microsimulation," EUROMOD Working Papers EM2/01, EUROMOD at the Institute for Social and Economic Research.
    3. Herwig Immervoll & Cathal O'Donoghue, 2009. "Towards a multi-purpose framework for tax-benefit microsimulation: lessons from EUROMOD," International Journal of Microsimulation, International Microsimulation Association, vol. 2(2), pages 43-54.
    4. Stephen Pudney & Ruth Hancock & Holly Sutherland, 2006. "Simulating the Reform of Means‐tested Benefits with Endogenous Take‐up and Claim Costs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(2), pages 135-166, April.
    5. 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.
    6. Sutherland, Holly & Mantovani, Daniela, 2003. "Social indicators and other income statistics using the EUROMOD baseline: a comparison with Eurostat and National Statistics," EUROMOD Working Papers EM1/03, EUROMOD at the Institute for Social and Economic Research.
    7. Olivier Bargain, 2017. "Welfare analysis and redistributive policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(4), pages 393-419, December.
    8. Saeed Ahmed, 2006. "Corporate Tax Models: A Review," SBP Working Paper Series 13, State Bank of Pakistan, Research Department.
    9. Gemma Wright & Michael Noble & Helen Barnes & David McLennan & Michell Mpike, 2016. "SAMOD, a South African tax-benefit microsimulation model: Recent developments," WIDER Working Paper Series wp-2016-115, World Institute for Development Economic Research (UNU-WIDER).
    10. Sutherland, Holly, 2001. "EUROMOD: an integrated European benefit-tax model: final report," EUROMOD Working Papers EM9/01, EUROMOD at the Institute for Social and Economic Research.
    11. Andrea Albarea & Michele Bernasconi & Cinzia Di Novi & Anna Marenzi & Dino Rizzi & Francesca Zantomio, 2015. "Accounting for Tax Evasion Profiles and Tax Expenditures in Microsimulation Modelling. The BETAMOD Model for Personal Income Taxes in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 8(3), pages 99-136.
    12. Maria Cozzolino & Marco Di Marco, 2015. "Micromodelling Italian Taxes and Social Policies," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(2), pages 17-26.
    13. 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.
    14. 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.
    15. Ana Kreter & Gianni Betti & Renata Del-Vecchio & Jefferson Staduto, 2015. "The Siena Micro-Simulation Model (SM2): a contribution for informality studies in Brazil," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2251-2268, November.
    16. 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.
    17. Wilkinson, Kate, 2009. "Adapting EUROMOD for use in a developing country – the case of South Africa and SAMOD," EUROMOD Working Papers EM5/09, EUROMOD at the Institute for Social and Economic Research.
    18. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    19. Mantovani, Daniela & Lietz, Christine, 2006. "Lessons from building and using EUROMOD," EUROMOD Working Papers EM5/06, EUROMOD at the Institute for Social and Economic Research.
    20. Figari, Francesco & Paulus, Alari & Sutherland, Holly, 2014. "Microsimulation and policy analysis," ISER Working Paper Series 2014-23, Institute for Social and Economic Research.

    More about this item

    Keywords

    Tax-benefit microsimulation; Italy; TABEITA; SILC; SHIW;
    All these keywords.

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:mil:wpdepa:2013-05. 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: DEMM Working Papers (email available below). General contact details of provider: https://edirc.repec.org/data/damilit.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.