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Using simple neural networks to analyse firm activity

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Author Info
Michael Dietrich () (Department of Economics, The University of Sheffield)

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Abstract

IntroductionCharacteristically, in economics, the analysis of firm activity is based on a production function that defines a deterministic relationship between factor inputs and firm output. The analysis of the firm as an organisation takes a somewhat different approach. For instance, behavioural economics (for example Simon, 1955; March and Simon, 1958; Cyert and March, 1963), transaction cost theory (Williamson, 1975, 1985) and capabilities approaches (for example Foss and Loasby, 1998; Foss, 2005) emphasise that economic agents have inevitably incomplete information and knowledge and are at most boundedly or limitedly rational. The implication here is that while general principles governing intra-firm interaction can be specified, detailed organisational processes inside the firm are, for practical academic purposes, effectively unobservable. Hence, the usual analytical tools designed to analyse firm behaviour, based on production functions and optimising principles with full information, are in practice an oversimplification of firm activity (Loasby, 1999).

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Paper provided by The University of Sheffield, Department of Economics in its series Working Papers with number 2005014.

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Length: 33 pages
Date of creation: Jul 2005
Date of revision: Jul 2005
Handle: RePEc:shf:wpaper:2005014

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  1. Michael Dietrich, 2003. "The importance of management and transaction costs for large UK firms," Applied Economics, Taylor and Francis Journals, vol. 35(11), pages 1317-1329, July. [Downloadable!] (restricted)
  2. Franses, Philip Hans & Van Homelen, Paul, 1998. "On Forecasting Exchange Rates Using Neural Networks," Applied Financial Economics, Taylor and Francis Journals, vol. 8(6), pages 589-96, December. [Downloadable!] (restricted)
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  3. Daniel Santín & Francisco J. Delgado & Aurelia Valiño, 2004. "The measurement of technical efficiency: a neural network approach," Applied Economics, Taylor and Francis Journals, vol. 36(6), pages 627-635, April. [Downloadable!] (restricted)
  4. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May. [Downloadable!] (restricted)
  5. Papadas, Christos T & Hutchinson, W George, 2002. "Neural Network Forecasts of Input-Output Technology," Applied Economics, Taylor and Francis Journals, vol. 34(13), pages 1607-15, September. [Downloadable!] (restricted)
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