Using Quantile Regression Approach to Analyze Price Movements of Agricultural Products in ChinaOACSCD
Using Quantile Regression Approach to Analyze Price Movements of Agricultural Products in China
LI Gan-qiong;XU Shi-wei;LI Zhe-min;SUN Yi-guo;DONG Xiao-xia
Agricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology,Ministry of Agriculture/Key Laboratory of Digital Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology,Ministry of Agriculture/Key Laboratory of Digital Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. ChinaAgricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology,Ministry of Agriculture/Key Laboratory of Digital Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. ChinaDepartment of Economics, University of Guelph, Ontario NIG2WI, CanadaAgricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology,Ministry of Agriculture/Key Laboratory of Digital Agricultural Early Warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China
cost factorsagricultural productsforecastingprice movementsquantile regression model
cost factorsagricultural productsforecastingprice movementsquantile regression model
《农业科学学报(英文版)》 2012 (4)
674-683,10
This work was supported by the Key Project of National Key Technology R&D Program of China (2009BADA9B01).
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