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Credible baseline analysis for multi-model public policy studies

  • S. I. Gass
  • S. C. Parikh
Conference paper
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 35)

Abstract

The nature of public decision-making and resource allocation is such that many complex interactions can best be examined and understood by quantitative analysis. Most organizations do not possess the totality of models and needed analytical skills to perform detailed and systematic quantitative analysis. Hence, the need for coordinated, multi-organization studies that support public decision-making has grown in recent years. This trend is expected not only to continue, but to increase.

This paper describes the authors' views on the process of multi-model analysis based on their participation in an analytical exercise, the ORNL/MITRE Study. One of the authors was the exercise coordinator. During the study, the authors were concerned with the issue of measuring and conveying credibility of the analysis. This work led them to identify several key determinants, described in this paper, that could be used to develop a rating of credibility.

Keywords

Policy Option Baseline Scenario Fuel Price Baseline Analysis Energy Information Administration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1981

Authors and Affiliations

  • S. I. Gass
    • 1
    • 2
  • S. C. Parikh
    • 1
    • 2
  1. 1.College of Business and ManagementUniversity of MarylandCollege Park
  2. 2.Energy DivisionOak Ridge National LaboratoryOak Ridge

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