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Pages 225-229

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From page 225...
... Medium- and long-term investment in computing environments for microanalytic simulation activities should focus on systems implemented on desktop hardware platforms. Another question is: What should the next-generation system for implementing microanalytic simulation models look like, and how should its design be approached?
From page 226...
... Existing interfaces can now be exploited for the next generation of microanalytic simulation model systems. CASE tools, object-oriented systems, and desktop development environments lag behind the development of graphical user interfaces but not by much.
From page 227...
... Thus, it is important to ensure that the system created be as general as possible and span implementation of as broad a class of microanalytic simulation models as possible. Future obsolescence is a threat to every system, and, for a given level of investment, the lifetime of the resulting system should be maximized.
From page 228...
... Such projections are applied to account for changes in economic status between 2 years. For static simulation, projection of economic variables generally relies on assumptions regarding the level of economic activity exogenous to the microsimulation model; dynamic simulation operating characteristics would be likely to regard the level of economic variables for individuals as at least partially endogenous to the model, affected by such variables as age, education level, occupation, and industry.
From page 229...
... First, most microanalytic simulation models do not use purely static or dynamic techniques. As reported by Devine and Werthenner (1981:6~: Virtually all of the major microsimulation models summarized earlier [TRIM, MATH, KGB, STATS, DYNASIM/MASH, DYNASIMIMASS, OTA's personal income tax model, and HHS's health care financing model]


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