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The Eurosystem Household Finance and Consumption Survey: A New Underlying Database for EUROMOD

Listed author(s):
  • Sarah Kuypers

    ()

    (Herman Deleeck Centre for Social Policy, University of Antwerp, Sint-Jacobsstraat 2, 2000 Antwerp, Belgium)

  • Francesco Figari

    ()

    (University of Insubria, ISER University of Essex, CeRP and DONDENA, Via Monte Generoso 71, 21100, Varese, Italy)

  • Gerlinde Verbist

    ()

    (Herman Deleeck Centre for Social Policy, University of Antwerp, Sint-Jacobstraat 2, 2000 Antwerp, Belgium)

We explore the prospects for using the Eurosystem Household Finance and Consumption Survey (HFCS) dataset as an underlying micro-database for the EU tax-benefit model, EUROMOD. This will allow expanding the policy domains currently covered in EUROMOD with dimensions like wealth taxation, incentives for wealth accumulation and asset tests determining benefit eligibility. As the HFCS only contains gross income amounts which are not suitable for distributive analysis, the purpose of this paper is to derive net incomes by simulating the gross-to-net transition with EUROMOD taking into account all important details of the social security and personal income tax system. In order to identify the issues and illustrate their importance a trial database for Belgium and Italy is constructed

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Article provided by International Microsimulation Association in its journal International Journal of Microsimulation.

Volume (Year): 9 (2016)
Issue (Month): 3 ()
Pages: 35-65

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Handle: RePEc:ijm:journl:v:9:y:2016:i:3:p:35-65
Contact details of provider: Web page: http://www.microsimulation.org/ijm/

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  1. James B. Davies & Susanna Sandström & Anthony Shorrocks & Edward N. Wolff, 2011. "The Level and Distribution of Global Household Wealth," Economic Journal, Royal Economic Society, vol. 121(551), pages 223-254, March.
  2. 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.
  3. Silvia Magri & Timothy Smeeding & Andrea Brandolini, 2010. "Asset-Based Measurement of Poverty," LWS Working papers 10, LIS Cross-National Data Center in Luxembourg.
  4. Facundo Alvaredo & Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2013. "The Top 1 Percent in International and Historical Perspective," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 3-20, Summer.
  5. Andrea Brandolini & Silvia Magri & Timothy M. Smeeding, 2010. "Asset-based measurement of poverty," Temi di discussione (Economic working papers) 755, Bank of Italy, Economic Research and International Relations Area.
  6. 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.
  7. 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.
  8. Francisco Azpitarte, 2012. "Measuring Poverty Using Both Income And Wealth: A Cross‐Country Comparison Between The U.S. And Spain," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(1), pages 24-50, March.
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