[b]Seasonality and Forecasting of Monthly Broiler Price in Iran[/b]
Journal Title: International Journal of Agricultural Management and Development - Year 2016, Vol 6, Issue 2
Abstract
The objective of this study was to model seasonal behavior of broiler price in Iran that can be used to forecast the monthly broiler prices. In this context, the periodic autoregressive (PAR), the seasonal integrated models, and the Box-Jenkins (SARIMA) models were used as the primary nominates for the forecasting model. It was shown that the PAR (q) model could not be considered as an appropriate method for modeling seasonal behavior of the broiler price. Results of seasonal unit root test indicated that the monthly prices of broiler follow a non-stationary stochastic seasonal process. Accordingly, the regression-based model is an appropriate modeling framework. While SARIMAis an alternative modeling approach, the RMSE of forecasting error suggested the superiority of the regressionbased model over the SARIMAmodel. Therefore, the estimated parameters of the regression-based model can be used to predict the monthly prices of broiler in Iran.
Authors and Affiliations
Azadeh Falsafian
Keywords
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- EP ID EP107111
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