期刊文献+

Structural Changes in High Dimensional Factor Models

Structural Changes in High Dimensional Factor Models
原文传递
导出
摘要 This paper provides a survey on recent developments in structural changes for high dimensional factor models. Compared with conventional low-dimensional time series, structural changes in factor models are more complicated due to the unobservability of factors and factor loadings. The following topics are covered in this survey: the identification conditions for the structural changes in the factor loadings, different impacts of big and small breaks in factor models, tests for structural changes in the factor loadings of a specific variable, tests for structural changes in the factor loading matrix, joint tests for structural changes in the factor loadings and coefficients in factor-augmented regressions, tests for smooth changes in the factor loadings, estimation of break dates, and model selection in factor models with structural changes via the shrinkage method. This paper provides a survey on recent developments in structural changes for high dimensional factor models. Compared with conventional low-dimensional time series, structural changes in factor models are more complicated due to the unobservability of factors and factor loadings. The following topics are covered in this survey: the identification conditions for the structural changes in the factor loadings, different impacts of big and small breaks in factor models, tests for structural changes in the factor loadings of a specific variable, tests for structural changes in the factor loading matrix, joint tests for structural changes in the factor loadings and coefficients in factor-augmented regressions, tests for smooth changes in the factor loadings, estimation of break dates, and model selection in factor models with structural changes via the shrinkage method.
出处 《Frontiers of Economics in China-Selected Publications from Chinese Universities》 2016年第1期9-39,共31页 中国高等学校学术文摘·经济学(英文版)
关键词 factor models structural changes break date factor models, structural changes, break date
  • 相关文献

参考文献45

  • 1Ahn S, Horenstein A(2013). Eigenvalue ratio test for the number of factors. Econometrica, 81(3): 1203-1227.
  • 2Andrews D (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61:821-856.
  • 3Andrews D, Ploberger W(1994). Optimal tests when a nuisance parameter is present only under the alternative. Econometrica, 62:1383-1414.
  • 4Bai J (1997). Estimation of a change point in multiple regression models. Review of Economics and Statistics, 79(4): 551-563.
  • 5Bai J (2010). Common breaks in means and variances for panel data. Journal of Econometrics, 157:78-92.
  • 6Bai J (2003). Inferential theory for factor models of large dimensions. Econometrica, 71: 135-172.
  • 7Bai J, Liao Y (2012). Efficient estimation of approximate factor models via regularized maxi- mum likelihood. Manuscript, Columbia University and University of Maryland.
  • 8Bai J, Lumsdaine R L, Stock J H (1998). Testing for and dating common breaks in multivariate time series. Review of Economic Studies, 65:395432.
  • 9Bai J, Perron P (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1): 47-78.
  • 10Bai J, Ng S (2002). Determining the number of factors in approximate factor models. Econo- metrica, 70:191-221.

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