Modeling of Potato Yield in India: An Empirical Approach using ARCH/GARCH Model

    Panwar, S and Kumar, A and Kumar, V and Rathore, A (2012) Modeling of Potato Yield in India: An Empirical Approach using ARCH/GARCH Model. International Journal of Agricultural and Statistical Sciences, 8 (2). pp. 597-601. ISSN 0973-1903

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    Abstract

    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.

    Item Type: Article
    Divisions: UNSPECIFIED
    CRP: UNSPECIFIED
    Uncontrolled Keywords: Non-linear models, ARCH/GARCH, Mean Squared Error (MSE), AIC, potato
    Subjects: Others > Statistical Models
    Others > Statistics
    Depositing User: Mr Ramesh K
    Date Deposited: 06 Dec 2018 09:23
    Last Modified: 06 Dec 2018 09:23
    URI: http://oar.icrisat.org/id/eprint/10998
    Official URL:
    Projects: UNSPECIFIED
    Funders: UNSPECIFIED
    Acknowledgement: UNSPECIFIED
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