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Water Demand Forecasting For Poultry Production: Structural, Time Series, And Deterministic Assessment

  • Adhikari, Murali
  • Houston, Jack E.
  • Bandyopadhyay, Dipankar
  • Paudel, Laxmi
  • Devkota, Nirmala
  • Paudel, Biswo Nath
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    A profit maximization model and an ARIMA model were developed to forecast water demand for broiler production. The forecasted numbers of broilers from structural and ARIMA model depart significantly from a USGS physical model. Analysis indicates 4% slippage in water demand forecasting related to disregarding the role of economic variables.

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    File URL: http://purl.umn.edu/22127
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    Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2003 Annual meeting, July 27-30, Montreal, Canada with number 22127.

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    Date of creation: 2003
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    Handle: RePEc:ags:aaea03:22127
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    1. David Aadland & DeeVon Bailey, 2001. "Short-Run Supply Responses in the U.S. Beef-Cattle Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 826-839.
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