IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_394_17.html
   My bibliography  Save this paper

BIMic: the Bank of Italy microsimulation model for the Italian tax and benefit system

Author

Listed:
  • Nicola Curci

    (Bank of Italy)

  • Marco Savegnago

    (Bank of Italy)

  • Marika Cioffi

    (Bank of Italy)

Abstract

The paper presents BIMic, a static and non-behavioural microsimulation model developed at the Bank of Italy. BIMic reproduces the main features of the Italian tax and benefit system, such as social security contributions, personal income tax, property taxes, family allowances and some other social benefits. It aims to evaluate the budgetary impact and distributive effects of tax-benefit programmes. Such programmes may be actually operating at a given point in time or may be a counterfactual set. To illustrate a potential use of BIMic, this paper discusses the distributive impact of a recently approved legislative innovation regarding the additional transfer to pensioners (known as the quattordicesima ai pensionati).

Suggested Citation

  • 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.
    • Handle: RePEc:bdi:opques:qef_394_17
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2017-0394/QEF_394_17.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. Andrea Brandolini & Silvia Magri & Timothy M. Smeeding, 2010. "Asset-based measurement of poverty," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 267-284.
    4. 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.
    5. John Creedy & Ivan Tuckwell, 2004. "Reweighting Household Surveys for Tax Microsimulation Modelling: An Application to the New Zealand Household Economic Survey," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(1), pages 71-88, March.
    6. Albert Ando & Sergio Nicoletti-Altimari, 2004. "A micro simulation model of demographic development and households' economic behavior in Italy," Temi di discussione (Economic working papers) 533, 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. 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.
    2. Castelluccio, Marco, 2021. "Flat tax? Maybe not a bad idea after all," Research in Economics, Elsevier, vol. 75(1), pages 60-78.
    3. 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.
    4. Cristina Cirillo & Lucia Imperioli & Marco Manzo, 2021. "The Value Added Tax Simulation Model: VATSIM-DF (II)," Working Papers wp2021-12, Ministry of Economy and Finance, Department of Finance.
    5. Nicola Curci & Marco Savegnago, 2019. "Shifting taxes from labour to consumption: the efficiency-equity trade-off," Temi di discussione (Economic working papers) 1244, Bank of Italy, Economic Research and International Relations Area.
    6. Francesca Parodi, 2023. "Taxation of Consumption and Labor Income: A Quantitative Approach," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(4), pages 177-216, October.
    7. Avgousti, Aris & Caprioli, Francesco & Caracciolo, Giacomo & Cochard, Marion & Dallari, Pietro & Delgado-Téllez, Mar & Domingues, João & Ferdinandusse, Marien & Filip, Daniela & Nerlich, Carolin & Pra, 2023. "The climate change challenge and fiscal instruments and policies in the EU," Occasional Paper Series 315, European Central Bank.
    8. Stefano Boscolo, 2022. "The contribution of tax-benefit instruments to income redistribution in Italy," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2022(2), pages 181-231.
    9. Nicola Curci & Giuseppe Grasso & Pasquale Recchia & Marco Savegnago, 2020. "Anti-poverty measures in Italy: a microsimulation analysis," Temi di discussione (Economic working papers) 1298, Bank of Italy, Economic Research and International Relations Area.
    10. Nicola Curci & Marco Savegnago, 2021. "A new universal child allowance in Italy: equity and efficiency concerns," Questioni di Economia e Finanza (Occasional Papers) 636, Bank of Italy, Economic Research and International Relations Area.
    11. 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. 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.
    2. 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.
    3. 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.
    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, 2021. "The Struggle of Being Poor and Claimant: Evidence on the Non-Take-Up of Social Policies in Italy," Center for the Analysis of Public Policies (CAPP) 0174, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Yang, Lin, 2017. "The relationship between poverty and inequality: concepts and measurement," LSE Research Online Documents on Economics 103491, London School of Economics and Political Science, LSE Library.
    11. Porro, Roberto & Lopez-Feldman, Alejandro & Vela-Alvarado, Jorge W., 2015. "Forest use and agriculture in Ucayali, Peru: Livelihood strategies, poverty and wealth in an Amazon frontier," Forest Policy and Economics, Elsevier, vol. 51(C), pages 47-56.
    12. Celidoni, Martina, 2011. "Vulnerability to poverty: An empirical comparison of alternative measures," MPRA Paper 33002, University Library of Munich, Germany.
    13. Giarda, Elena, 2013. "Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3425-3434.
    14. Nick Bailey, 2020. "Measuring Poverty Efficiently Using Adaptive Deprivation Scales," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 891-910, June.
    15. Francisco Azpitarte & Gaston Yalonetzky, 2023. "The measurement of asset and wealth poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 38, pages 410-419, Edward Elgar Publishing.
    16. Marko Ledic & Ivica Rubil & Ivica Urban, 2022. "Missing top incomes and tax-benefit microsimulation: evidence from correcting household survey data using tax records data," Working Papers 609, ECINEQ, Society for the Study of Economic Inequality.
    17. Yunhee Chang & Swarn Chatterjee & Jinhee Kim, 2014. "Household Finance and Food Insecurity," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 499-515, December.
    18. Laura Cavalli & Alessandro Bucciol & Paolo Pertile & Veronica Polin & Nicola Sartor & Alessandro Sommacal, 2012. "Modelling life-course decisions for the analysis of interpersonal and intrapersonal redistribution," Working Papers 25/2012, University of Verona, Department of Economics.
    19. Giovanni D�Alessio, 2018. "Gender wealth gap in Italy," Questioni di Economia e Finanza (Occasional Papers) 433, Bank of Italy, Economic Research and International Relations Area.
    20. 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.

    More about this item

    Keywords

    fiscal policy; tax-benefit; microsimulation model; redistribution; progressivity;
    All these keywords.

    JEL classification:

    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • 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

    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:bdi:opques:qef_394_17. 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.