References
- Alvarez, J., and Arellano, M. (2003), “The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators,” Econometrica, 71, 1121–1159.
- Ahn, S. C., and Horenstein, A.R. (2013), “Eigenvalue Ratio Test for the Number of Factors,” Econometrica 81, 1203–1227.
- Ahn, S. C., Lee, Y. H. and Schmidt, P. (2001), “GMM Estimation of Linear Panel Data Models With Time-Varying Individual Effects,” Journal of Econometrics, 101, 219–255.
- Ahn, S. C., Lee, Y. H., and Schmidt, P. (2013), “Panel Data Models With Multiple Time-Varying Individual Effects,” Journal of Econometrics, 174, 1–14.
- Anderson, T. W. (1951), “The Asymptotic Distribution of Certain Characteristic Roots and Vectors,” Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, Berkeley: University of California Press, pp. 103–130.
- Anderson, T. W. (1963), “Asymptotic Theory for Principal Component Analysis,” Annals of Mathematical Statistics, 34, 122–148.
- Anderson, T. W., and Rubin, H. (1956), “Statistical Inference in Factor Analysis,” Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, 5, 111–150.
- Arellano, M., and Bond, S. (1991), “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,” Review of Economic Studies, 58, 277–297.
- Bai, J. (2009), “Panel Data Models With Interactive Effects,” Econometrica 77, 1229–1279.
- Bai, J., and Ng, S. (2002), “Determining the Number of Factors in Approximate Factor Models,” Econometrica, 70, 191–221.
- Bai, Z. D., and Silverstein, J. W. (2004), “CLT for Linear Spectral Statistics of Large-Dimensional Sample Covariance Matrices,” The Annals of Probability 32, 553–605.
- Bai, Z. D., and Silverstein, J. W. (2006), Spectral Analysis of Large Dimensional Random Matrices (1st ed.), Beijing: Science Press.
- Fan, J., and Yao, Q. (2003), Nonlinear Time Series: Nonparametric and Parametric Methods, New York: Springer-Verlag.
- Gao, J. (2007), Nonlinear Time Series: Semiparametric and Nonparametric Methods, Boca Raton, FL: Chapman and Hall.
- Hsiao, C. (2014), Analysis of Panel Data (3rd ed.), Cambridge: Cambridge University Press.
- Hsiao, C. (2018), “Panel Models With Interactive Effects,” Journal of Econometrics, 206, 645–673.
- Hsiao, C., and Zhou, Q. (2019), “Panel Parametric, Semi-parametric and Nonparametric Construction of Counterfactuals,” Journal of Applied Econometrics, 34, 463–481.
- Hsiao, C., and Zhou, Q. (2020), “Estimation of Dynamic Panel Data Models With Interactive Effects: Quasi-differencing over Time or Pairwise?” working paper.
- Jiang, B., Yang, Y., Gao, J., and Hsiao, C. (2020), “Recursive Estimation in Large Panel Data Models: Theory and Practice,” Journal of Econometrics, forthcoming.
- Moon, R., and Weidner, M. (2015), “Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects,” Econometrica, 83, 1543–1579.
- Moon, R., and Weidner, M. (2017), “Dynamic Linear Panel Regression Models with Interactive Fixed Effects,” Econometric Theory, 33, 158–195.
- Pesaran, M. H. (2006), “Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure,” Econometrica 74, 967–1012.
- Schott, J. R. (1997), Matrix Analysis for Statistics, New York: Wiley.
- White, H. (2001), Asymptotic Theory for Econometricians (Revised ed.). Emerald Group Publishing Limited.
- White, H., and Domowitz, I. (1984), “Nonlinear Regression With Dependent Observations,” Econometrica, 52, 143–162.