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Modelling and Forecasting of Meat Exports from India

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Title Modelling and Forecasting of Meat Exports from India
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Creator Ranjit Kumar Paul
Sanjeev Panwar
Susheel Kumar Sarkar
Anil Kumar
K.N. Singh
Samir Farooqi
Vipin Kumar Choudhary
 
Subject Forecasting
meat export
SARIMA model
seasonality
stationarity
 
Description Not Available
In the present study, seasonal autoregressive integrated moving average (SARIMA) methodology has
been applied for modelling and forecasting of monthly export of meat and meat products from India.
Augmented Dickey-Fuller test has been used for testing the stationarity of the series. Autocorrelation
(ACF) and partial autocorrelation (PACF) functions have been estimated, which have led to the
identification and construction of SARIMA models, suitable in explaining the time series and forecasting
the future export. The evaluation of forecasting of export of meat and meat preparations has been carried
out with root mean squares prediction error (RMSPE), mean absolute prediction error (MAPE) and
relative mean absolute prediction error (RMAPE). The residuals of the fitted models were used for the
diagnostic checking. The best identified model for the data under consideration was used for out-ofsample
forecasting along with the upper and lower 95 per cent confidence interval up to the year 2013.
Not Available
 
Date 2018-10-27T08:57:57Z
2018-10-27T08:57:57Z
2013-07-01
 
Type Research Paper
 
Identifier Ranjit Kumar Paul, Sanjeev Panwar, Susheel Kumar Sarkar, Anil Kumar, K.N. Singh, Samir Farooqi and Vipin Kumar Choudhary (2013). Modelling and Forecasting of Meat Exports from India. Agricultural Economics Research Review, 26(2), 249-255.
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http://krishi.icar.gov.in/jspui/handle/123456789/8316
 
Language English
 
Relation Not Available;
 
Publisher Agricultural Economics Research Review