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Statistical Inference in Micro Simulation Models: Incorporating external information

  • Klevmarken, N. Anders


    (Department of Economics)

In practical applications of micro simulation models very little is usually known about the properties of the simulated values. This paper argues that we need to apply the same rigorous standards for inference in micro simulation work as in scientific work generally. If not, then micro simulation models will loose in credibility. The paper first discusses how the structure of the model will determine inference and then follow sections on estimation and validation. Differences between inference in static and dynamic models are noted and then the paper focuses on the estimation of behavioral parameters. There are three themes: calibration viewed as estimation subject to external constraints, piece meal vs. system-wide estimation, and simulation based estimation.

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Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number 1998:20.

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Length: 25 pages
Date of creation: 01 Oct 1998
Date of revision:
Publication status: Published in Mathematics and Computers in Simulation, 2002, pages 255-265.
Handle: RePEc:hhs:uunewp:1998_020
Contact details of provider: Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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