Forecasting Irrigation Water Demand: A Structural And Time Series Analysis
An expected utility model was developed to capture the impacts of wealth, other economic, and institutional factors on irrigation acreage allocation decisions. Predicted water demand is derived from an expected utility structural model and various ARIMA models. No significant differences arise between forecasted irrigation acreage and, thereby, amount of forecasted water demand between econometric and time series models. However, estimates of water demand differ significantly from a Blaney-Criddle-based physical model. Keywords: water forecasting, acreage response, water slippage, BC formula
|Date of creation:||2003|
|Date of revision:|
|Contact details of provider:|| Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202|
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
More information through EDIRC
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.:
- Houston, Jack E. & McIntosh, Christopher S. & Stavriotis, Paul A. & Turner, Steven C., 1999. "Leading Indicators Of Regional Cotton Acreage Response: Structural And Time Series Modeling Results," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(03), December.
When requesting a correction, please mention this item's handle: RePEc:ags:aaea03:22109. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.