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Seasonality and Forecasting of Monthly Broiler Price in Iran

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  • Falsafian, Azadeh

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 SARIMA is an alternative modeling approach, the RMSE of forecasting error suggested the superiority of the regression- based model over the SARIMA model. Therefore, the estimated parameters of the regression-based model can be used to predict the monthly prices of broiler in Iran.

Suggested Citation

  • Falsafian, Azadeh, 2016. "Seasonality and Forecasting of Monthly Broiler Price in Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 6(2), June.
    • Handle: RePEc:ags:ijamad:262550
    DOI: 10.22004/ag.econ.262550
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    References listed on IDEAS

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    1. Arnade, Carlos & Pick, Daniel, 1998. "Seasonality and unit roots: the demand for fruits," Agricultural Economics, Blackwell, vol. 18(1), pages 53-62, January.
    2. 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.
    3. Brendstrup, Bjarne & Hylleberg, Svend & Nielsen, Morten Rregaard & Skipper, Lars & Stentoft, Lars, 2004. "Seasonality In Economic Models," Macroeconomic Dynamics, Cambridge University Press, vol. 8(03), pages 362-394, June.
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