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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Contos, G. Eftekharzadeh, A. Guyton, J. Erard, B. Stilmar, S. |
| Copyright Year | 2009 |
| Description | Author affiliation: Internal Revenue Service, Office of Research 500 North Capitol St, Washington, DC 20001 (Contos, G.; Eftekharzadeh, A.; Guyton, J.) || IBM Corporation, 12907 Federal Systems Park Dr. Fairfax, VA 22033 and Dept. of Economics, University of Virginia, P.O. Box 400182, Charlottesville, VA 22904 (Stilmar, S.) || B. Erard & Associates, 2350 Swaps Court Reston, VA 20191-2630 (Erard, B.) |
| Abstract | Econometric models can be very useful for estimating the marginal impacts of changes in policy. However, their broader application as a tool for micro-simulation analysis poses a number of challenges and limitations. This paper uses the context of modeling taxpayer compliance burden for small businesses to explore some extensions to standard econometric simulation techniques that provide more robust support of the distribution of the characteristics of interest. Key to the approach is explicitly simulating a random draw from the specified error distribution and a pair of calibration factors reflecting some of the technical limitations of a finite simulation. Further technical considerations regarding the retransformation of the dependent variable in a log-linear regression model are also discussed. Final comments include thoughts on potential refinements and implications for simulating the domain area of interest beyond the current scope of small business taxpayers. |
| Starting Page | 2902 |
| Ending Page | 2914 |
| File Size | 295314 |
| Page Count | 13 |
| File Format | |
| ISBN | 9781424457700 |
| e-ISBN | 9781424457717 |
| DOI | 10.1109/WSC.2009.5429234 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Econometrics Supply chains International collaboration Collaborative work Collaborative software Supply chain management Analytical models Costs Manufacturing Stochastic processes |
| Content Type | Text |
| Resource Type | Article |
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