Investment decision-making is modeled by means of a Kohonen neural net, where neurons represent firms. This is done in order to model investments in novel fields of economic activity, that according to this model are carried out when firms recognize the emergence of a new technological pattern. Combination of the equations of Kohonen model neuron with macroeconomic relationships yields disaggregated accelerator equations with flexible coefficients, that in the aggregate and fixed- coefficients case boil down to traditional accelerator equations. A simulation tests the model in a situation that is remindful of the very beginning of economic recoveries.
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Paper provided by EconWPA in its series Macroeconomics with number
0207008.
Length: 30 pages Date of creation: 18 Aug 2002 Date of revision: Handle: RePEc:wpa:wuwpma:0207008
Note: Type of Document - PDF; prepared on IBM PC - PC-TEX/UNIX Sparc TeX; pages: 30; figures: included. Author's homepage is at Contact details of provider: Web page: http://129.3.20.41
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Itzhak Gilboa & David Schmeidler, 1992.
"Case-Based Decision Theory,"
Discussion Papers
994, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
[Downloadable!]
Itzhak Gilboa & David Schmeidler, 1993.
"Case-Based Optimization,"
Discussion Papers
1039, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
[Downloadable!]
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