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Financial Classification Of Farm Businesses Using Fuzzy Systems

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Author Info
Duval, Yann
Kastens, Terry
Featherstone, Allen

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Abstract

This paper attempts to improve the ability of farm managers and lenders to forecast expected financial performance of farm businesses using a neuro-fuzzy inference system. Ex-ante farm financial performance is examined to identify the farms that are likely to become financially stressed before they actually become so.

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File URL: http://purl.umn.edu/19596
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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2002 Annual meeting, July 28-31, Long Beach, CA with number 19596.

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Date of creation: 2002
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Handle: RePEc:ags:aaea02:19596

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Related research
Keywords: Agricultural Finance;

References listed on IDEAS
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  1. Ralph Bierlen & Allen M. Featherstone, 1998. "FUNDAMENTAL q, CASH FLOW, AND INVESTMENT: EVIDENCE FROM FARM PANEL DATA," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 427-435, August. [Downloadable!] (restricted)
  2. van Kooten, G Cornelis & Krcmar, Emina & Bulte, Erwin H, 2001. " Preference Uncertainty in Non-market Valuation: A Fuzzy Approach," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 83(3), pages 487-500, August. [Downloadable!] (restricted)
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This page was last updated on 2009-11-26.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.