Arbeitspapier

Statistical Inference in Micro Simulation Models: Incorporating external information

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.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 1998:20

Classification
Wirtschaft
Model Construction and Estimation
Model Evaluation, Validation, and Selection
Subject
Micro simulation
Alignment
Calibration
System-wide estimation
Simulation-based estimation

Event
Geistige Schöpfung
(who)
Klevmarken, N. Anders
Event
Veröffentlichung
(who)
Uppsala University, Department of Economics
(where)
Uppsala
(when)
1998

Handle
URN
urn:nbn:se:uu:diva-2430
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Klevmarken, N. Anders
  • Uppsala University, Department of Economics

Time of origin

  • 1998

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