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Enterprise Microsimulation Models And Data Challenges

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  • Filippo Oropallo

    (ISTAT)

Abstract

Microsimulation models to study the fiscal impact and the development of micro-founded indicators on enterprise performance require a great deal of information. This is normally scattered in various statistical surveys and administrative sources. Each different data source is conceived to serve different purposes and, in many instances, may refer to different units or different definitions may be used for the same unit. Any attempt to bring together data from different sources has to overcome complex problems in terms of sheer access, and integration and systematisation. The paper shows the analysis of the integration problems that have been faced, the architecture of the integration process that has been adopted. First results bring to the construction of micro-founded indicators and a microsimulation study is carried out to analyze the tax burden on enterprise linked with a performance indicator.

Suggested Citation

  • Filippo Oropallo, 2004. "Enterprise Microsimulation Models And Data Challenges," Public Economics 0409005, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwppe:0409005
    Note: Type of Document - doc; pages: 31
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    References listed on IDEAS

    as
    1. Ec. Filippo Oropallo & Ec. Lorenzo Lo Cascio, 2007. "The Development of a Multisource and a Systematized Database for Economic and Policy Impact Analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 2(2(507)), pages 13-32, February.
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    Cited by:

    1. 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.
    2. Filippo Oropallo & Valentino Parisi, 2007. "Will Italy’s Tax Reform Reduce the Corporate Tax Burden? A Microsimulation Analysis," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 9(1), pages 31-58, march.
    3. Tilmann Rave & Ursula Triebswetter, 2006. "Economic impacts of environmental regulations," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 30.
    4. Natale Renato Fazio & Mauro Politi, 2007. "Metodologia per l’analisi dei comportamenti e della soddisfazione degli utilizzatori di una banca dati statistica su Internet," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 9(1), pages 5-30, march.
    5. Maurizio Bovi, 2005. "Book-Tax Gap. An Income Horse Race," Public Economics 0506009, University Library of Munich, Germany.
    6. Alessandro Faramondi & Claudio Pascarella & Augusto Puggioni, 2007. "Piccole e medie imprese: le innovazioni nei metodi di calcolo dei principali aggregati economici di contabilità nazionale," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 9(1), pages 59-84, march.

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    More about this item

    Keywords

    Data integration; micro-simulation; micro-founded indicators;
    All these keywords.

    JEL classification:

    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm

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