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Behaviour of Prices of Groundnut in Northern Hills of Chhattisgarh
Author(s) -
Ankur Kumar Rathore,
Raipur Indira Gandhi Krishi Vishvavidyalaya
Publication year - 2021
Publication title -
indian journal of pure and applied biosciences
Language(s) - English
Resource type - Journals
ISSN - 2582-2845
DOI - 10.18782/2582-2845.8673
Subject(s) - autoregressive integrated moving average , time series , geography , statistics , mathematics , agricultural economics , economics
This study attempted to guide the farmers and planners for reliable and specific information concerning the prices of Groundnut in the Northern Hills agro-climatic zone of Chhattisgarh. The time series data of prices was taken monthly from January, 2010 to March, 2021 (135 months) and it was used to forecast the prices for upcoming 24 months i.e. April, 2021 to March, 2023. The time trend analysis of prices of groundnut were found sharpely increasing over the study period. The price remains almost similar over the year as indicated by seasonal indices. On the basis of lowest MAE, MAPE, RMSE and AIC, out of the seasonal ARIMA models we got, ARIMA (1,1,1) (0,0,2) [12] was best identified fitted model for predicting prices of Groundnut. The data analysis is done by using R ().

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