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Recognizing Investment Opportunities at the Onset of Recoveries

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Author Info
Guido Fioretti (University of Stuttgart and ICER)

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Abstract

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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File URL: http://129.3.20.41/eps/mac/papers/0207/0207008.pdf
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Publisher Info
Paper provided by EconWPA in its series Macroeconomics with number 0207008.

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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
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Web page: http://129.3.20.41

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Related research
Keywords: Accelerator; Investment; Neural Nets; Cognition;

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Find related papers by JEL classification:
C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
D29 - Microeconomics - - Production and Organizations - - - Other
E27 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation
L29 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Other
O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General
O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other

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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.:
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    Other versions:
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    Other versions:
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    Other versions:
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    Other versions:
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