IDEAS home Printed from https://ideas.repec.org/a/isa/journl/v17y2015i2p17-26.html
   My bibliography  Save this article

Micromodelling Italian Taxes and Social Policies

Author

Listed:
  • Maria Cozzolino

    (Italian National Institute of Statistics)

  • Marco Di Marco

    (Italian National Institute of Statistics)

Abstract

Microsimulation models are nowadays extensively used to estimate the effects of existing and planned welfare and tax policies. The paper summarises the microsimulation models recently built at the Italian National Institute of Statistics (Istat) for the analysis of the Italian tax-benefit system and for the evaluation of public policies. It summarises the extent of Istat microsimulation models, focusing on the techniques applied to the available survey and administrative microdata to estimate the incidence of income, property and consumption taxes and of social security contributions, and the allocation of cash benefits. These calculations, taken as a whole, permit to assess the ultimate effect of the tax-benefit system on the redistribution of incomes and on poverty. A wide set of legislative details have been included in the models, in order to account for all the interactions between different policy instruments.

Suggested Citation

  • 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.
    • Handle: RePEc:isa:journl:v:17:y:2015:i:2:p:17-26
    as

    Download full text from publisher

    File URL: http://www.istat.it/it/files/2015/10/2-Micromodelling-Italian-Taxes-and-Social-Policies.pdf
    Download Restriction: no
    ---><---

    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. John Creedy, 2004. "Survey Reweighting For Tax Microsimulation Modelling," Research on Economic Inequality, in: Studies on Economic Well-Being: Essays in the Honor of John P. Formby, pages 229-249, Emerald Group Publishing Limited.
    3. Sutherland, H., 1995. "Static Microsimulation Models in Europe: A Survey," Cambridge Working Papers in Economics 9523, Faculty of Economics, University of Cambridge.
    4. 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.
    5. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    Full references (including those not matched with items on IDEAS)

    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 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.
    2. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
    3. 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.
    4. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    5. 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.
    6. Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    7. 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.
    8. Figari, Francesco & Paulus, Alari & Sutherland, Holly, 2014. "Microsimulation and policy analysis," ISER Working Paper Series 2014-23, Institute for Social and Economic Research.
    9. Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    10. Edoardo Pizzoli & Giuseppe Lecardane & Domenico Ciaccia, 2006. "Impact Analysis of the Common Agricultural Policy Changes in Italy: a Two Sectors Input-output and Micro-econometric Modelling Approach," EcoMod2006 272100070, EcoMod.
    11. Junyi Zhu, 2014. "Bracket Creep Revisited - with and without r > g: Evidence from Germany," Journal of Income Distribution, Ad libros publications inc., vol. 23(3), pages 106-158, November.
    12. Robert Darko Osei & Kwabena Adu-Ababio, 2018. "Effects of an education reform on household poverty and inequality: A microsimulation analysis on the free Senior High School policy in Ghana," WIDER Working Paper Series 147, World Institute for Development Economic Research (UNU-WIDER).
    13. Olivier Bargain & Tim Callan, 2010. "Analysing the effects of tax-benefit reforms on income distribution: a decomposition approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(1), pages 1-21, March.
    14. Giordana, Gastón A. & Pi Alperin, María Noel, 2023. "Old age takes its toll: Long-run projections of health-related public expenditure in Luxembourg," Economics & Human Biology, Elsevier, vol. 50(C).
    15. Holger Bonin & Karsten Reuss & Holger Stichnoth, 2015. "Life-Cycle Incidence of Family Policy Measures in Germany: Evidence from a Dynamic Microsimulation Model," SOEPpapers on Multidisciplinary Panel Data Research 770, DIW Berlin, The German Socio-Economic Panel (SOEP).
    16. Brum, Matias & De Rosa, Mauricio, 2021. "Too little but not too late: nowcasting poverty and cash transfers’ incidence during COVID-19’s crisis," World Development, Elsevier, vol. 140(C).
    17. Bucciol, Alessandro & Cavalli, Laura & Fedotenkov, Igor & Pertile, Paolo & Polin, Veronica & Sartor, Nicola & Sommacal, Alessandro, 2017. "A large scale OLG model for the analysis of the redistributive effects of policy reforms," European Journal of Political Economy, Elsevier, vol. 48(C), pages 104-127.
    18. Dolls, Mathias & Fuest, Clemens & Peichl, Andreas, 2012. "Automatic stabilizers and economic crisis: US vs. Europe," Journal of Public Economics, Elsevier, vol. 96(3), pages 279-294.
    19. Orsetta Causa & Alain de Serres & Nicolas Ruiz, 2015. "Can pro-growth policies lift all boats?: An analysis based on household disposable income," OECD Journal: Economic Studies, OECD Publishing, vol. 2015(1), pages 227-268.
    20. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.

    More about this item

    Keywords

    Microsimulation; Redistribution; Poverty; Inequality.;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs

    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:isa:journl:v:17:y:2015:i:2:p:17-26. 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: Stefania Rossetti (email available below). General contact details of provider: https://edirc.repec.org/data/istgvit.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.