Technical Appendix for: Generalized Dynamic Panel Data Models with Random Eects for Cross-Section and Time
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[1] B. Baltagi,et al. Econometric Analysis of Panel Data , 2020, Springer Texts in Business and Economics.
[2] M. Pitt,et al. Likelihood analysis of non-Gaussian measurement time series , 1997 .
[3] B. Anderson,et al. Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.
[4] S. Koopman,et al. Likelihood-based Analysis for Dynamic Factor Models , 2008 .
[5] Mike K. P. So. POSTERIOR MODE ESTIMATION FOR NONLINEAR AND NON-GAUSSIAN STATE SPACE MODELS , 2003 .
[6] Siem Jan Koopman,et al. Time Series Analysis by State Space Methods , 2001 .
[7] J. Durbin,et al. Monte Carlo maximum likelihood estimation for non-Gaussian state space models , 1997 .
[8] S. Koopman,et al. Monte Carlo estimation for nonlinear non-Gaussian state space models , 2007 .
[9] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[10] Siem Jan Koopman,et al. Time Series Analysis of Non-Gaussian Observations Based on State Space Models from Both Classical and Bayesian Perspectives , 1999 .
[11] Siem Jan Koopman,et al. Filtering and Smoothing of State Vector for Diffuse State-Space Models , 2001 .
[12] A. E. Sarhan,et al. On inverting a class of patterned matrices , 1956 .
[13] Siem Jan Koopman,et al. A simple and efficient simulation smoother for state space time series analysis , 2002 .