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

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  • V. Fiorio, Carlo
  • Ceriani, Lidia
  • Gigliarano, Chiara
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) IT-SILC data using the gross incomes provided 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 module included 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 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

  • V. Fiorio, Carlo & Ceriani, Lidia & Gigliarano, Chiara, 2013. "The importance of choosing the data set for tax-benefit analysis," EUROMOD Working Papers EM5/13, EUROMOD at the Institute for Social and Economic Research.
    • Handle: RePEc:ese:emodwp:em5-13
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    1. Leventi, Chrysa & Figari, Francesco & Paulus, Alari & Avram, Silvia & Matsaganis, Manos & Navicke, Jekaterina & Rastrigina, Olga & Sutherland, Holly & Militaru, Eva & Levy, Horacio, 2013. "The distributional effects of fiscal consolidation in nine EU countries," EUROMOD Working Papers EM2/13, EUROMOD at the Institute for Social and Economic Research.
    2. Monica Hernandez & Stephen Pudney & Ruth Hancock, 2006. "The Welfare Cost of Means Testing: Pensioner Participation in Income," Working Papers 2006004, The University of Sheffield, Department of Economics, revised Apr 2006.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, October.
    9. 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.
    10. Emanuele Ciani & Donatella Fresu, 2011. "From SHIW to IT-SILC: construction and representativeness of the new CAPP_DYN first-year population," Center for the Analysis of Public Policies (CAPP) 0092, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    11. 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.
    12. 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.
    13. 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.
    14. Sutherland, H., 1995. "Static Microsimulation Models in Europe: A Survey," Cambridge Working Papers in Economics 9523, Faculty of Economics, University of Cambridge.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
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    Cited by:

    1. 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.
    2. Alexandri, Eva & Figari, Francesco & Longo, Enrico & Suta, Cornelia-Madalina, 2024. "A micro-macro approach for the evaluation of fiscal policies: The case of the Italian tax-benefit reform," Economic Modelling, Elsevier, vol. 135(C).
    3. 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.
    4. 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.
    5. 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.
    6. Fernando Di Nicola & Giorgio Mongelli & Simone Pellegrino, 2015. "The static microsimulation model of the Italian Department of Finance: Structure and first results regarding income and housing taxation," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(2), pages 125-157.
    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. Paolo Caro, 2020. "Decomposing Personal Income Tax Redistribution with Application to Italy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 113-129, March.
    9. Figari, Francesco & Paulus, Alari & Sutherland, Holly, 2014. "Microsimulation and policy analysis," ISER Working Paper Series 2014-23, Institute for Social and Economic Research.
    10. Sarah Kuypers & Francesco Figari & Gerlinde Verbist, 2016. "The Eurosystem Household Finance and Consumption Survey: A New Underlying Database for EUROMOD," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 35-65.
    11. Carlos Felipe Balcázar & Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2017. "Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 881-898, December.
    12. Karina Doorley & Tim Callan & Michael Savage, 2021. "What drove income inequality in EU crisis countries during the Great Recession?," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 319-343, June.
    13. 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.
    14. Gerlinde Verbist & Francesco Figari, 2014. "The Redistributive Effect and Progressivity of Taxes Revisited: An International Comparison across the European Union," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 70(3), pages 405-429, September.
    15. Michael Christl & Monika Köppl-Turyna & Dénes Kucsera, 2017. "A Tax-Benefit Model for Austria (AUTAX): Work Incentives and Distributional Effects of the 2016 Tax Reform," International Journal of Microsimulation, International Microsimulation Association, vol. 10(2), pages 144-176.
    16. Gemma Wright & Helen Barnes & Michael Noble & David McLennan & Faith Masekesa, 2018. "Assessing the quality of the income data used in SAMOD, a South African tax-benefit microsimulation model," WIDER Working Paper Series wp-2018-173, World Institute for Development Economic Research (UNU-WIDER).
    17. Helen Barnes & Gemma Wright & Michael Noble & David McLennan & Faith Masekesa, 2018. "Assessing the quality of the income data used in SAMOD, a South African tax-benefit microsimulation model," WIDER Working Paper Series 173, World Institute for Development Economic Research (UNU-WIDER).
    18. Bavaro, Michele & Boscolo, Stefano & Tedeschi, Simone, 2024. "Simulating Long-Run Wealth Distribution and Transmission: The Role of Intergenerational Transfers," INET Oxford Working Papers 2024-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    19. 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.
    20. Figari, Francesco & Fiorio, Carlo, 2015. "Fiscal consolidation policies in the context of Italy’s two recessions," EUROMOD Working Papers EM7/15, EUROMOD at the Institute for Social and Economic Research.
    21. Paolo Di Caro, 2018. "Redistribution in real-world PIT: Evidence from Italian tax records," Working Papers wp2018-2, Ministry of Economy and Finance, Department of Finance.
    22. Perugini, Francesco, 2024. "Local government efficiency and economic growth: The Italian case," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    23. Paolo Di Caro, 2017. "The contribution of tax statistics for analysing regional income disparities in Italy," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-27, March.
    24. Stefano Boscolo, 2019. "Quantifying the Redistributive Effect of the Erosion of the Italian Personal Income Tax Base: A Microsimulation Exercise," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2019(2), pages 39-80.

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    More about this item

    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

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