Prediction of Farmers’ Income and Selection of Model ARIMA Report as inadecuate




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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 rural households will continue to increase from 2009 to 2012 and will reach the value of 2 282.4, 2 502.9, 2 686.9 and 2 884.5 respectively. The growth speed will go down from fast to slow with weak sustainability.

Keywords: Farmers’ income ; Model ARIMA ; Prediction ; Time series ; China

Subject(s): Agribusiness

Issue Date: 2010-12

Publication Type: Journal Article

PURL Identifier: http://purl.umn.edu/102374 Published in: Asian Agricultural Research, Volume 02, Issue 11 Page range: 37-41

Total Pages: 5

Record appears in: USA-China Science and Culture Media Corporation > Asian Agricultural Research





Author: Wang, Hao

Source: http://ageconsearch.umn.edu/record/102374?ln=en



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