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LL面板单位根检验及其应用 被引量:1

LL Panel Unit Root Test and Its Application
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摘要 近30年来面板数据分析和时间序列单位根检验获得了蓬勃发展,而这为面板单位根检验的发展奠定了基础。面板单位根检验的理论研究和实证研究已经成为当前计量经济学的一个热点。Levin和Lin提出的LL检验是最早被大量应用于实际的面板单位根检验,现在仍是最常用的面板单位检验方法之一。本文对LL检验进行了较详细的介绍,并给出了一个应用。 Panel data analysis and time series unit root test have developed rapidly during the recent 30 years, which laid the foundation for the development of panel unit root test. Both theory researches and empirical studies on panel unit root test are hot topics in econometrics. LL test proposed by Levin and Lin is the first one frequently used in empirical studies and is still one of mostly used panel unit root tests. This paper provides a detailed introduction of LL test and one application of LL test.
作者 金林
出处 《中南财经政法大学研究生学报》 2007年第3期16-20,共5页 Journal of the Postgraduate of Zhongnan University of Economics and Law
关键词 LL检验 面板数据 单位根检验 收敛性假说 LL Test Panel Data Unit Root Test Convergence Hypothesis
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参考文献3

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同被引文献11

  • 1Jin Baisuo, Wang Cheng, Miao Baiqi, Mong-Na Huang. Limiting Spectral distribution of large-dimensional sample covariance matrices generated by VARMA[J]. Journal of Multivariate Analysis2009, 100: 2112-2125.
  • 2Bai Z D, Silverstein J W. Spectral analysis of large dimensional random matrices [J]. Science Press,Beijing, 2006.
  • 3Jiang Tiefeng. The Asymptoeic Distributions of the largest entries of sample correlation matrices [J].The Annals of Applied Probability, 2004,14(2): 865-880.
  • 4Jinho Baik, Jack W. Silverstein,Eigenvalues of large sample covariance matrices of spiked populationmodesl[J]. Journal of Multivariate Analysis, 2006, 97: 1382-1408.
  • 5Bai Z D, Miao B Q, Pan G M. On asymptotics of eigenvectors of large sample covariance matrix [J].Annals of Probability, 2007, 35: 1532-1572.
  • 6Bai Z D, Yin Y Q and Krishanaiah P R. On the limiting empirical distribution function of theeigenvalues of a multivariate F matrix [J]. Probab Theory Related Fields, 1987, 32: 490-500.
  • 7Bai Z D, Silverstein J W. Exact separation of eigenvalues of large dimensional sample covariancematrices [J]. Annals of Probability, 1999, 27: 1536-1555.
  • 8Andrew Levin,Chien-fu Lin,Unit root tests in panel data: new results, University of California[J].San Diego Department of Economics, December 1993.
  • 9Maddala G S and Shaowen Wu. A Comparative study of unit root tests with panel data and a newsimply test [J]. Oxford Bulletin of Economics and Statistics, 1999, Special Issue, 0305-9049.
  • 10Kyung So Im, M. Hashem Pesaran and Yongcheol Shin. Testing for unit roots in heterogeneouspanels[J]. DEA Working Papers Amalgamated Series, March 2002,No.9526.

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