MODELING OF POTATO YIELD IN INDIA: AN EMPIRICAL APPROACH USING ARCH/GARCH MODEL

被引：0
|
作者：
Panwar, Sanjeev [1 ]
Kumar, Anil [1 ]
Kumar, Vipin [2 ]
Rathore, Abhishek [3 ]
机构：
[1] Indian Agr Res Inst, New Delhi 12, India
[2] Project Directorate Farming Syst Res, Modipuram 250110, India
[3] ICRISET, Hydrabad, India
来源：
INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2012年 / 8卷 / 02期
关键词：
Non-linear models; ARCH/GARCH; Mean Squared Error (MSE); AIC;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
This study discusses the application of nonlinear models viz. Gompertz., Logistic, Quadratic, Mercer-Morgan-Flodin (MMF), Weibull and Richards to measure the growth and comparing with ARCH/GARCH methodology. Time series data on potato yield in India during 1952-2006 were utilized for the present study. The fitted non-linear models are compared using statistics such as Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE), Theil statistic/One Step Ahead Forecasting (OSAF), AIC, SBC, etc. and found that both Logistic and Gompertz model are better fit to describe all India potato yield data.
引用
收藏
页码：597 / 601
页数：5
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