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Microsimulation as Tool for the Evaluation of Public Policies: Methods and Applications

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  • Spadaro Amedeo

Abstract

Microsimulation as a Tool for the Evaluation of Public Policies: Methods and Applications brings together the contributions of the experts participating in the international workshop of the same name, supported by the BBVA Foundation. This was also the occasion for the public presentation of SimFundaciónBBVA, a microsimulation tool for predicting the future effects on the Spanish population of changes in the taxation system, with particular reference to personal income tax.Those interested can access this tool on the Foundation website. The book explains the theoretical foundations of microsimulation as a microeconometric technique for the evaluation of public policy. Based on the representation of individuals behavior when confronted with real or hypothetical changes in their economic or institutional environment, microsimulation techniques work with extremely rich and accurate models to predict the impact of a given policy on a sample of individuals, households or businesses representing the population as a whole. Its chapters take the reader through some concrete applications of models developed in Spain, Italy and Norway, dealing with healthcare, energy, tax and agricultural fields, international trade and, even, supranational policies to combat poverty.Microsimulation models, with their power to evaluate different scenarios on an ex-ante basis, can contribute to more efficient public policies, providing valuable input for decision making. Provider_Name: Fundacion BBVA / BBVA Foundation

Suggested Citation

  • Spadaro Amedeo (ed.), 2007. "Microsimulation as Tool for the Evaluation of Public Policies: Methods and Applications," Books, Fundacion BBVA / BBVA Foundation, number 201169.
  • Handle: RePEc:fbb:booklb:201169
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    Cited by:

    1. Audrey Berry, 2018. "Compensating households from carbon tax regressivity and fuel poverty: a microsimulation study," CIRED Working Papers hal-01691088, HAL.
    2. Chyzheuskaya, Aksana & O’Donoghue, Cathal & O’Neill, Stephen & Hynes, Stephen, 2015. "Using A Spatialmicrosimulationmodel To Estimate The Potential Economic Impact On Agriculture Of Possible Freshwater Pearl Mussel Protection Strategies," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212669, European Association of Agricultural Economists.
    3. Islam, Nizamul & Flood, Lennart, 2015. "A Tax Benefit Model for Policy Evaluation in Luxembourg: LuxTaxBen," IZA Discussion Papers 9152, Institute for the Study of Labor (IZA).
    4. Zsolt Szabó, 2016. "Microsimulation Modelling of the Pension System," Proceedings of FIKUSZ 2016,in: Regina Zsuzsánna Reicher (ed.), Proceedings of FIKUSZ '16, pages 141-150 Óbuda University, Keleti Faculty of Business and Management.
    5. Vincenzo Atella & Federico Belotti & Valentina Conti & Claudio Cricelli & Joanna Kopinska & Andrea Piano Mortari, 2016. "Modeling public health care expenditure using patient level data: Empirical evidence from Italy," CEIS Research Paper 367, Tor Vergata University, CEIS, revised 10 Feb 2016.
    6. Audrey Berry, 2017. "Compensating households from carbon tax regressivity and fuel poverty: a microsimulation study," Policy Papers 2017.08, FAERE - French Association of Environmental and Resource Economists.

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