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Prediction of Farmers’ Income and Selection of Model ARIMA AgEcon
Wang, Hao.
Based on the research technology of scholars’ prediction of farmers’ income and the data of per capita annual net income in rural households in Henan Statistical Yearbook from 1979 to 2009, it is found that time series of farmers’ income is in accordance with I(2) non-stationary process. The order-determination and identification of the model are achieved by adopting the correlogram-based analytical method of Box-Jenkins. On the basis of comparing a group of model properties with different parameters, model ARIMA (4, 2, 2) is built up. The testing result shows that the residual error of the selected model is white noise and accords with the normal distribution, which can be used to predict farmers’ income. The model prediction indicates that income in...
Tipo: Journal Article Palavras-chave: Farmers’ income; Model ARIMA; Prediction; Time series; China; Agribusiness.
Ano: 2010 URL: http://purl.umn.edu/102374
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