统计研究 ›› 2012, Vol. 29 ›› Issue (12): 77-80.

• 论文 • 上一篇    下一篇

对2006-2010年中国经济预测准确性的评析

李连友 张曦   

  • 出版日期:2012-12-15 发布日期:2012-12-19

Analysis and Evaluation of the Forecasting Accuracy of China’s Economy in 2006-2010

Li Lianyou&Zhang Xi   

  • Online:2012-12-15 Published:2012-12-19

摘要: 本文利用灰色关联分析及排名赋值分析对国内外14家机构或个人对2006年-2010年中国GDP增速预测的准确性做出评价,并对预测偏误进行了相应的分析。本文分析结果表明:(1)运用上述两种方法得到的结论是:预测准确程度排在前两位的均为北京大学经济学院宋国青和中科院,排在后四位的均为中国人民银行、德意志银行、亚洲开发银行及联合国;(2)经济相对繁荣时,预测者预测偏误较大;经济相对衰退时,预测偏误较小;(3)不同背景的预测者预测的准确性存在差异,个人预测者在这5年中预测误差相对较小,而机构预测者则预测误差相对较大;(4)在经济繁荣期,各预测者倾向于低估;而在经济衰退期,个人机构预测者倾向于高估,机构预测者则倾向于低估(2008年除外)。

关键词: 经济预测, 灰色关联分析, 排名赋值分析

Abstract: This article evaluates the 14 forecast results provided by foreign and domestic institutions and scholars about China’s GDP growth rate in 2006-2010 by using Gray correlation analysis and ranking evaluation and analyses the bias of these forecasts. The results show that: (1) Song Guo-qing from Peking university and Chinese Academy of Sciences give the most correct forecasts; The People’s Bank of China, Deutsche Bank, Asian Development Bank, and United Nations come in the last four;(2)The better of economy, the bigger of forecast bias;(3) The background of forecasters has relationship with forecast bias. Scholars tend to have smaller forecast bias while institutions tend to have bigger one; (4)When economy flourishes, each forecaster tend to underestimate, but in economic depression, scholars tend to overestimate while institutions tend to underestimate(except 2008).

Key words: Economic forecast, Gray correlation analysis, Ranking evaluation