IDEAS home Printed from https://ideas.repec.org/p/ven/wpaper/201524.html
   My bibliography  Save this paper

Accounting for tax evasion profiles and tax expenditures in microsimulation modelling. The BETAMOD model for personal income taxes in Italy

Author

Listed:
  • Andrea Albarea

    (Department of Economics, University Of Venice C� Foscari)

  • Michele Bernasconi

    (Department of Economics, University Of Venice C� Foscari)

  • Cinzia Di Novi

    (Department of Economics, University Of Venice C� Foscari)

  • Anna Marenzi

    (Department of Economics, University Of Venice C� Foscari)

  • Dino Rizzi

    (Department of Economics, University Of Venice C� Foscari)

  • Francesca Zantomio

    (Department of Economics, University Of Venice C� Foscari)

Abstract

The paper presents the main characteristics of BETAMOD, a static microsimulation model that reproduces the Italian personal income tax (IRPEF), as well as local income taxes, namely the regional and municipal additional income taxes, building on a detailed reconstruction of tax legislation. With respect to the vast majority of existing tax microsimulation models, the peculiarities of BETAMOD concern two aspects: the inclusion of a detailed set of tax expenditures, and the estimation of individual-specific tax evasion rates, which account for the total individual income level, its composition in terms of income sources, and the geographical area of residence.

Suggested Citation

  • 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," Working Papers 2015:24, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2015:24
    as

    Download full text from publisher

    File URL: http://www.unive.it/pag/fileadmin/user_upload/dipartimenti/economia/doc/Pubblicazioni_scientifiche/working_papers/2015/WP_DSE_albarea_bernasconi_etal_24_15.pdf
    File Function: First version, anno
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 77-106, April.
    2. Leonard E. Burman & Christopher Geissler & Eric J. Toder, 2008. "How Big Are Total Individual Income Tax Expenditures, and Who Benefits from Them?," American Economic Review, American Economic Association, vol. 98(2), pages 79-83, May.
    3. Avram, Silvia, 2014. "The distributional effects of personal income tax expenditure," EUROMOD Working Papers EM14/14, EUROMOD at the Institute for Social and Economic Research.
    4. 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.
    5. Carlo V Fiorio & Francesco D'Amuri, 2006. "Tax Evasion In Italy: An Analysis Using A Tax-Benefit Microsimulation Model," The IUP Journal of Public Finance, IUP Publications, vol. 0(2), pages 19-37, May.
    6. Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
    7. Gabriella Donatiello & Gianni Betti & Paolo Consolini, 2012. "The Construction of Gross Income Variables of Eusilc (Eu Statistics on Income and Living Conditions) in Italy: A Mixed Strategy Using Microsimulation and Administrative Data," Department of Economics University of Siena 652, Department of Economics, University of Siena.
    8. Ivica Urban & Peter J. Lambert, 2008. "Redistribution, Horizontal Inequity, and Reranking," Public Finance Review, , vol. 36(5), pages 563-587, September.
    9. Gerlinde Verbist & Francesco Figari, 2013. "GINI DP 88: The redistributive effect and progressivity of taxes revisited: An International Comparison across the European Union," GINI Discussion Papers 88, AIAS, Amsterdam Institute for Advanced Labour Studies.
    10. Matsaganis, Manos & Flevotomou, Maria, 2007. "The impact of mortgage interest tax relief in the Netherlands, Sweden, Finland, Italy and Greece," EUROMOD Working Papers EM2/07, EUROMOD at the Institute for Social and Economic Research.
    11. Carlo Mazzaferro & Marcello Morciano, 2008. "CAPP_DYN: A Dynamic Microsimulation Model for the Italian Social Security System," Department of Economics 0595, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    12. 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.
    13. Aronson, J. Richard & Lambert, Peter J., 1994. "Decomposing the Gini Coefficient to Reveal the Vertical, Horizontal, and Reranking Effects of Income Taxation," National Tax Journal, National Tax Association, vol. 47(2), pages 273-94, June.
    14. 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.
    15. Poterba, James M., 2011. "Introduction: Economic Analysis of Tax Expenditures," National Tax Journal, National Tax Association;National Tax Journal, vol. 64(2), pages 451-457, June.
    16. Avram, Silvia, 2014. "The distributional effects of personal income tax expenditure," ISER Working Paper Series 2014-26, Institute for Social and Economic Research.
    17. O'Donoghue, Cathal & Immervoll, Herwig, 2001. "Imputation of gross amounts from net incomes in household surveys: an application using EUROMOD," EUROMOD Working Papers EM1/01, EUROMOD at the Institute for Social and Economic Research.
    18. 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.
    19. Aronson, J. Richard & Lambert, Peter J., 1994. "Decomposing the Gini Coefficient to Reveal the Vertical, Horizontal, and Reranking Effects of Income Taxation," National Tax Journal, National Tax Association;National Tax Journal, vol. 47(2), pages 273-294, June.
    20. Joseph P. Newhouse, 1977. "Medical-Care Expenditure: A Cross-National Survey," Journal of Human Resources, University of Wisconsin Press, vol. 12(1), pages 115-125.
    21. James M. Poterba, 2011. "Economic Analysis of Tax Expenditures," NBER Books, National Bureau of Economic Research, Inc, number pote08-2.
    22. 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.
    23. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, October.
    24. Justin Tyson, 2014. "Reforming Tax Expenditures in Italy: What, Why, and How?," IMF Working Papers 2014/007, International Monetary Fund.
    25. 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.
    26. Burman, Leonard E., 2003. "Is the Tax Expenditure Concept Still Relevant?," National Tax Journal, National Tax Association;National Tax Journal, vol. 56(3), pages 613-627, September.
    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. Demetrio Guzzardi & Elisa Palagi & Andrea Roventini & Alessandro Santoro, 2022. "Reconstructing Income Inequality in Italy: New Evidence and Tax Policy Implications from Distributional National Accounts," World Inequality Lab Working Papers halshs-03693201, HAL.
    2. Stefano Boscolo, 2021. "On the horizontal inequity effect of the erosion of the pit base: the case of Italy," Politica economica, Società editrice il Mulino, issue 1, pages 43-82.
    3. Cinzia Di Novi & Anna Marenzi & Dino Rizzi, 2018. "Do healthcare tax credits help poor-health individuals on low incomes?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 293-307, March.
    4. 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.
    5. Stefano Boscolo & Giovanni Gallo, 2024. "The Struggle of Being Poor and Claimant: Evidence on the Non-Take-Up of Social Policies in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 625-648, July.
    6. Davide Azzolini & Martina Bazzoli & Silvia De Poli & Carlo Fiorio & Samuele Poy, 2017. "Developing and Validating Regional Microsimulation Models. TREMOD: The Tax-Benefit Model of the Italian Province of Trento," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2017(1), pages 5-33.
    7. Andrea Albarea & Michele Bernasconi & Anna Marenzi & Dino Rizzi, 2023. "Tax Evasion, Behavioral Microsimulation Models and Flat-Rate Tax Reforms: Analysis for Italy," Public Finance Review, , vol. 51(2), pages 262-310, March.
    8. Sara Torregrosa, 2015. "Bypassing progressive taxation: fraud and base erosion in the Spanish income tax (1970-2001)," Working Papers 2015/31, Institut d'Economia de Barcelona (IEB).
    9. 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.
    10. Taro Ohno & Junpei Sakamaki & Daizo Kojima, 2020. "Factor decomposition of changes in the tax base for income tax," Discussion papers ron331, Policy Research Institute, Ministry of Finance Japan.
    11. Taro Ohno & Junpei Sakamaki & Author-Name:Daizo Kojima, 2021. "Effects of Deductions on the Tax Burden Reduction and the Redistribution of the Income and Resident Taxes," Discussion papers ron338, Policy Research Institute, Ministry of Finance Japan.
    12. Boscolo, Stefano, 2019. "The contribution of proportional taxes and tax-free cash benefits to income redistribution over the period 2005-2018: Evidence from Italy," EUROMOD Working Papers EM18/19, EUROMOD at the Institute for Social and Economic Research.
    13. Stefano Boscolo, 2020. "On the Horizontal Inequity Effect of the Erosion of the PIT Base: The Case of Italy," Department of Economics 0176, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    14. Paolo Di Caro, 2017. "Analisi distributiva dell?IRPEF utilizzando i microdati di fonte fiscale," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2017(1), pages 35-59.
    15. Elena Miola & Marco Manzo, 2021. "A Tax-Benefit Microsimulation Model for Personal Income Taxation in Italy," Working Papers wp2021-10, Ministry of Economy and Finance, Department of Finance.
    16. 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.
    17. 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.
    18. Ohno, Taro & Sakamaki, Junpei & Kojima, Daizo & Imahori, Tomotsugu, 2021. "Effects of deductions on the tax burden reduction and the redistribution of the income and resident taxes," Japan and the World Economy, Elsevier, vol. 60(C).
    19. 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.
    20. Stefano Boscolo, 2019. "The Contribution of Proportional Taxes and Tax-Free Cash Benefits to Income Redistribution over the Period 2005-2018: Evidence from Italy," Department of Economics 0152, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

    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. Cinzia Di Novi & Anna Marenzi & Dino Rizzi, 2018. "Do healthcare tax credits help poor-health individuals on low incomes?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 293-307, March.
    2. Paolo Di Caro, 2017. "Analisi distributiva dell?IRPEF utilizzando i microdati di fonte fiscale," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2017(1), pages 35-59.
    3. Salvador Barrios & Flavia Coda Moscarola & Francesco Figari & Luca Gandullia, 2020. "Size and distributional pattern of pension-related tax expenditures in European countries," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(5), pages 1287-1320, October.
    4. Davide Azzolini & Martina Bazzoli & Silvia De Poli & Carlo Fiorio & Samuele Poy, 2017. "Developing and Validating Regional Microsimulation Models. TREMOD: The Tax-Benefit Model of the Italian Province of Trento," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2017(1), pages 5-33.
    5. 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.
    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. Stefano Boscolo, 2020. "On the Horizontal Inequity Effect of the Erosion of the PIT Base: The Case of Italy," Department of Economics 0176, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    8. 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.
    9. Stefano Boscolo, 2019. "The Contribution of Proportional Taxes and Tax-Free Cash Benefits to Income Redistribution over the Period 2005-2018: Evidence from Italy," Department of Economics 0152, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    10. Avram, Silvia, 2014. "The distributional effects of personal income tax expenditure," EUROMOD Working Papers EM14/14, EUROMOD at the Institute for Social and Economic Research.
    11. Boscolo, Stefano, 2019. "The contribution of proportional taxes and tax-free cash benefits to income redistribution over the period 2005-2018: Evidence from Italy," EUROMOD Working Papers EM18/19, EUROMOD at the Institute for Social and Economic Research.
    12. Figari, Francesco & Paulus, Alari & Sutherland, Holly, 2014. "Microsimulation and policy analysis," ISER Working Paper Series 2014-23, Institute for Social and Economic Research.
    13. Avram, Silvia, 2014. "The distributional effects of personal income tax expenditure," ISER Working Paper Series 2014-26, Institute for Social and Economic Research.
    14. Stefano Boscolo, 2021. "On the horizontal inequity effect of the erosion of the pit base: the case of Italy," Politica economica, Società editrice il Mulino, issue 1, pages 43-82.
    15. 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.
    16. Herault, Nicolas & Jenkins, Stephen P., 2023. "Redistribution, horizontal inequity, and reranking: direct taxation in the UK, 1977–2020," LSE Research Online Documents on Economics 120996, London School of Economics and Political Science, LSE Library.
    17. Nathalie Morel & Chloé Touzet & Michaël Zemmour, 2016. "Fiscal welfare in Europe: a state of the art," Working Papers hal-02187913, HAL.
    18. Liu Baihui, 2017. "Redistributive Effect of Taxes and Transfers: Evidence from China," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 3(1), pages 43-51.
    19. 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.
    20. 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.

    More about this item

    Keywords

    Tax-benefit microsimulation; tax evasion; tax expenditures; SILC; Italy;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • 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
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ven:wpaper:2015:24. 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: Geraldine Ludbrook (email available below). General contact details of provider: https://edirc.repec.org/data/dsvenit.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.