• DocumentCode
    2616985
  • Title

    IRS post-filing processes simulation modeling: A comparison of des with econometric microsimulation in tax administration

  • Author

    Greenland, Arnold ; Morrison, Erica Layne ; Connors, David ; Guyton, John L. ; Sebastiani, Michael

  • Author_Institution
    IBM Corp., Bethesda
  • fYear
    2007
  • fDate
    9-12 Dec. 2007
  • Firstpage
    1268
  • Lastpage
    1274
  • Abstract
    IRS Office of Research Headquarters measures and models taxpayer burden, defined as expenditures of time and money by taxpayers to comply with the federal tax system. In this research activity, IRS created two microsimulation models using econometric techniques to enable the Service to produce annual estimates of taxpayer compliance burden for individual and small business populations. Additionally, a discrete event simulation (DES) model was developed to represent taxpayer activities and IRS administration in post-filing processes. This paper discusses the development of the DES Post-filing Model and compares microsimulation and DES approaches from the perspectives of policy measurement, flexibility and reporting by IRS analysts. The main strengths of microsimulation are robust segmentation of results and the ability to support representation of imbedded, joint distributions in a complex, structural model. The strengths of using DES are its queuing capability and increased flexibility to update the granularity of both the data and process changes.
  • Keywords
    discrete event simulation; econometrics; taxation; IRS post-filing process simulation modeling; discrete event simulation model; econometric microsimulation model; federal tax system; tax administration; Costs; Decision support systems; Discrete event simulation; Econometrics; Economic forecasting; Mathematical model; Psychology; Public policy; Robustness; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2007 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1306-5
  • Electronic_ISBN
    978-1-4244-1306-5
  • Type

    conf

  • DOI
    10.1109/WSC.2007.4419731
  • Filename
    4419731