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考虑结构突变的单位根检验程序研究——基于“新息异常值模型”的Perron检验分析 被引量:3

The Research on the Unit Root Test Procedure with Structural Break
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摘要 Perron检验是一种考虑结构突变的单位根检验方法,检验统计量的分布依赖于数据生成过程中所包含的确定性趋势和所选取的检验回归式;而在实证分析中真实的数据生成过程是未知的,这使得单位根检验缺乏必要依据,因而探寻科学有效的单位根检验程序是受到广泛关注的问题。基于此,本文在"IO模型"分析框架下,依据Perron检验提出了一套考虑结构突变的单位根检验程序,并通过蒙特卡洛模拟分析了该程序在有限样本情形下的表现。本研究完善了带有结构突变的单位根检验理论,为实证分析提供了有益的建议和参考。 Perron test is one of the methods for unit root test allowing for structural break, and the distributions of the test statistics are dependent on the deterministic trends included in data generated process (DGP) and selected regression. However, the real DGP is unknown in process of the empirical analysis, which leads to no base for unit root test. So it is urgent to search a scientific and effective procedure for unit root test. For this reason, with the analytic frame of "Innovational Outlier model" and based on Perron test, the paper proposes a procedure for unit root test with structural break and examines the properties of the procedure with finite sample by Monte Carlo simulations, which complements and completes the theories about unit root test with structural break and provides helpful advices and references for empirical analysis.
作者 聂巧平 冯蕾
出处 《数量经济技术经济研究》 CSSCI 北大核心 2008年第9期139-151,共13页 Journal of Quantitative & Technological Economics
基金 天津市哲学社会科学研究规划项目的资助 编号:TJTJ07-005
关键词 结构突变 Perron检验 单位根检验 检验程序 蒙特卡洛模拟 Structural Break Perron Test Unit Root Test Test Procedure Monte Carlo Stimulations
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参考文献12

  • 1聂巧平,张晓峒.ADF单位根检验中联合检验F统计量研究[J].统计研究,2007,24(2):73-80. 被引量:31
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二级参考文献4

  • 1Campbell,John Y.,and Pierre Perron:Pitfalls and Opportunities:What Macroeconomists Should Know About Unit Roots,Technical Working Paper 100,NBER Working Paper Series.April 1991.
  • 2David A.Dickey and W.A.Fuller:Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root,Econometirca[J].49,1981,1057-1072.
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共引文献30

同被引文献28

  • 1滕建州.我国宏观经济和金融总量平稳性的再思考[J].统计研究,2006,23(10):55-60. 被引量:3
  • 2Campbell J. Y. , Perron P. , 1991, Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots [J]. NBER Macroeeonomics Annual (6) , 141-201.
  • 3Dickey D. A. , Fuller W. A. , 1979, Distribution of the Estimators for Autoregressive Time Series with a Unit Root [J]. Journal of the American Statistical Association (74), 427-431.
  • 4Dickey D. A. , Fuller W. A. , 1981, Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root [J]. Econometrica (49), 1057-1072.
  • 5Montanes A., Olloqui I., Calvo E., 2005, Selection of the Break in the Perron-type Tests [J]. Journal of Econometrics (129), 41-64.
  • 6Perron P. , 1989, The Great Crash, the Oil Price Shock and the Unit Root Hypothesis [J]. Econometrica (57), 1361-1401.
  • 7Perron P. , 1990, Testing for a Unit Root in a Time Series with a Changing Mean [J]. Journal of Business and Economic Statistics (8) : 153-162.
  • 8Perron P. , 1994, Trend, Unit Root and Structural Change in Macroeconomic Time Series [M]. Cointegration for the Applied Economist, Rao B.B. (ed.), Basingstoke: Macmillan Press, 113-146.
  • 9Perron P. , Yabu T., 2009, Estimating Deterministic Trends with an Integrated or Stationary Noise Component [J]. Journal of Econometrics (151): 56-69.
  • 10Roy A. , Fuller W. A. , 2001, Estimation for Autoregressive Processes With a Root Near One [J]. Journal of Business and Economic Statistics (19), 482-493.

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二级引证文献23

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