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Microsimulation tools for the evaluation of fiscal policy reforms at the Banco de España

Author

Listed:
  • Olympia Bover

    (Banco de España)

  • José María Casado

    (Banco de España)

  • Esteban García-Miralles

    (Banco de España)

  • Roberto Ramos

    (Banco de España)

  • José María Labeaga

    (UNED)

Abstract

This paper presents the microsimulation models developed at the Banco de España for the study of fiscal reforms, describing the tool used to evaluate changes in the Spanish personal income tax and also the one for the value added tax and excise duties. In both cases the structure, data and output of the model are detailed and its capabilities are illustrated using simple examples of hypothetical tax reforms, presented only to illustrate the use of these simulation tools.

Suggested Citation

  • Olympia Bover & José María Casado & Esteban García-Miralles & Roberto Ramos & José María Labeaga, 2017. "Microsimulation tools for the evaluation of fiscal policy reforms at the Banco de España," Occasional Papers 1707, Banco de España.
    • Handle: RePEc:bde:opaper:1707
    as

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    File URL: http://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/17/Fich/do1707e.pdf
    File Function: First version, October 2017
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    References listed on IDEAS

    as
    1. Jose M. Labeaga & Angel López, 1994. "Estimation of the welfare effects of indirect tax changes on spanish households: an anlysis of the 1992 vat reform," Investigaciones Economicas, Fundación SEPI, vol. 18(2), pages 289-311, May.
    2. Olympia Bover, 2011. "The Spanish survey of household finances (eff): description and methods of the 2008 wave," Occasional Papers 1103, Banco de España.
    3. Olympia Bover, 2008. "The Spanish Survey of Household Finances (EFF): description and methods of the 2005 wave," Occasional Papers 0803, Banco de España.
    4. Jose Labeaga & Angel Lopez, 1997. "A study of petrol consumption using Spanish panel data," Applied Economics, Taylor & Francis Journals, vol. 29(6), pages 795-802.
    5. Francesco Figari & Alari Paulus, 2015. "The Distributional Effects of Taxes and Transfers Under Alternative Income Concepts," Public Finance Review, , vol. 43(3), pages 347-372, May.
    6. Olympia Bover, 2008. "Oversampling of the wealthy in the Spanish Survey of Household Finances (EFF)," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 399-402, Bank for International Settlements.
    7. Julio López Laborda & Carmen Marín González & Jorge Onrubia, 2016. "Observatorio sobre el reparto de los impuestos entre los hogares espanoles. JUNIO 2016 n PRIMER INFORME," Studies on the Spanish Economy eee2016-21, FEDEA.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Nezih Guner & Javier López-Segovia & Roberto Ramos, 2020. "Reforming the individual income tax in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(4), pages 369-406, December.
    2. Wynnona Steyn & Alexius Sithole & Winile Ngobeni & Eva Muwanga-Zake & Helen Barnes & Michael Noble & David McLennan & Gemma Wright & Katrin Gasior, 2021. "Simulating personal income tax in South Africa using administrative data and survey data: A comparison of PITMOD and SAMOD for tax year 2018," WIDER Working Paper Series wp-2021-120, World Institute for Development Economic Research (UNU-WIDER).
    3. Thomas, Alastair, 2019. "Who Would Win from a Multi-rate GST in New Zealand: Evidence from a QUAIDS Model," Working Paper Series 20932, Victoria University of Wellington, Chair in Public Finance.
    4. Thomas, Alastair, 2019. "Who Would Win from a Multi-rate GST in New Zealand: Evidence from a QUAIDS Model," Working Paper Series 8127, Victoria University of Wellington, Chair in Public Finance.

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    More about this item

    Keywords

    microsimulation; Spain; personal income tax; value added tax; excise duties;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General

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