International Journal of Research in Economics and Social Sciences
  • Year: 2016
  • Volume: 6
  • Issue: 5

Forecasting of Cotton Production in India Using Arima Models

  • Author:
  • Prema Borkar1, P. M. Tayade2
  • Total Page Count: 7
  • Page Number: 1 to 7

1Assistant Professor, Gokhale Institute of Politics and Economics (Deemed to be a University), Pune-411004, Maharashtra

2Research Scholar, Department of Agricultural Economics, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani-431402, Maharashtra

Online published on 20 April, 2017.

Abstract

The paper describes an empirical study of modeling and forecasting time series data of Cotton Production in India. The Box Jenkins ARIMA methodology has been used for forecasting. The diagnostic checking has shown that ARIMA (2, 1, 1) is appropriate. The forecasts from 2015–16 to 2020–2021 are calculated based on the selected model. These forecasts would be helpful for the policy makers to foresee ahead of time the future requirements of grain storage, import and/or export and adopt appropriate measures in this regard.

Keywords

Arima models, Cotton Production, Forecasting