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Prévisions à court terme du niveau des aquifères : le cas de la nappe de Beauce

Listed author(s):
  • Bonnal, Liliane
  • Favard, Pascal

The objective of this article is to establish short term forecasts (one year), on the level of groundwater using conventional time series models. The interest of this work is to give policy makers reliable information on the evolution of groundwater levels. The forecasts which are essentially based on previous levels of groundwater are quite satisfactory. Indeed, the maximum forecast error is about half percent.

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File URL: http://purl.umn.edu/206190
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Article provided by INRA (French National Institute for Agricultural Research) in its journal Cahiers d'Economie et de Sociologie Rurales (CESR).

Volume (Year): 53 (1999)
Issue (Month): ()
Pages:

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Handle: RePEc:ags:inrace:206190
Contact details of provider: Postal:
INRA ESR - BP27 - 31326 Castanet Tolosan cedex

Fax: (33) 5.61.28.53.72
Web page: http://www.toulouse.inra.fr/esr/
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  1. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
  2. Christophe Bontemps & Stéphane Couture & Pascal Favard, 2003. "Estimation de la demande en eau d'irrigation sous incertitude," Économie rurale, Programme National Persée, vol. 276(1), pages 17-24.
  3. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
  4. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
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