(54.196.104.66)
Users online: 2051    [ij] [ij] [ij] 
Example of HTML Menu
Email id
 

Agricultural Economics Research Review
Year : 2013, Volume : 26, Issue : 2
First page : ( 249) Last page : ( 256)
Print ISSN : 0971-3441. Online ISSN : 0974-0279.

Modelling and Forecasting of Meat Exports from India

Paul Ranjit Kumar*, Panwar Sanjeev, Sarkar Susheel Kumar, Kumar Anil, Singh K.N., Farooqi Samir, Choudhary Vipin Kumar

Indian Agricultural Statistics Research Institute, New Delhi - 110 012

*Author for correspondence Email: ranjitstat@gmail.com

JEL Classification: Q13, Q17, Q22

Online published on 19 December, 2013.

Abstract

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-of-sample forecasting along with the upper and lower 95 per cent confidence interval up to the year 2013.

Top

Keywords

Forecasting, meat export, SARIMA model, seasonality, stationarity.

Top

  
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
230,280,821 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.