期刊文献+

基于动态面板数据的中国菲利普斯曲线稳健性分析 被引量:5

An Analysis of the Stability of China's Phillips Curve Based on Dynamic Panel Data
原文传递
导出
摘要 基于中国1978-2008年31个省市的动态面板数据,运用系统广义矩估计方法,分别考察了传统的菲利普斯曲线、新凯恩斯菲利普斯曲线和混合菲利普斯曲线在中国的适用性及稳健性。结果表明三种类型的菲利普斯曲线在中国省际动态面板数据意义上都是成立的,且都是稳健的。政策含义是,政策制定需高度重视人们对通货膨胀率的前瞻性预期。 Based on the dynamic panel data of 31 provinces in China from 1978 to 2008, this paper analyzes the applicability and stability of the traditional Phillips curve, New-Keynesian Phillips curve and hybrid Phillips curve in China with the System GMM method. The results indicate that these three kinds of Phillips curves are stable and their meanings on China's provincial dynamic panel data are established. The policy indication is that when framing policies close attention should be paid to the public expectation of inflation rate.
出处 《当代财经》 CSSCI 北大核心 2011年第3期12-21,共10页 Contemporary Finance and Economics
关键词 动态面板数据 菲利普斯曲线 系统广义矩 dynamic panel data Phillips Curve system GMM
  • 相关文献

参考文献17

  • 1Friedman M. The Role of Monetary Policy[J]. American Economic Review, 1968, 5g(1): 1-17.
  • 2Lucas R. Expectations and the Neutrality of Money[J]. Journal of Economic Theory, 1972, (4): 103-124.
  • 3Taylor J. Aggregate Dynamics and Staggered Contracts[J]. Journal of Political Economy, 1980, (88): 1-22.
  • 4Seheibe J, Vines D. A Phillips Curve for China[Z]. CAMA Working Paper, 2005, February.
  • 5李振,杨晓光.新凯恩斯菲利普斯曲线模型在中国的实证研究:基于VAR的分析[J].管理评论,2007,19(12):17-23. 被引量:11
  • 6陈彦斌.中国新凯恩斯菲利普斯曲线研究[J].经济研究,2008,43(12):50-64. 被引量:175
  • 7Mankiw G. The Inexorable and Mysterious Tradeoff between Inflation and Unemployment[J]. Economic Journal, 2001,471: 45-61.
  • 8Fuhrer J, Moore G. Inflation Persistence[J]. Quarterly Journal of Economics, 1995, 110(1): 127-129.
  • 9Fuhrer J. The (Un)Importance of Forward-Looking Behavior in Price Specifications[J]. Journal of Money, Credit andBanking, 1997, (3): 338-350.
  • 10Gall J, Gertler M. Inflation Dynamics: A Structural Econometric Approach[J]. Journal of Monetary Economics, 1999,44(2): 195-222.

二级参考文献123

共引文献234

同被引文献85

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部