References
- Aldous, D. J., and G. K. Eagleson. 1978. On mixing and stability of limit theorems. The Annals of Probability 6 (2):325–31.
- Andrews, D. W. K. 2005. Cross-section regression with common shocks. Econometrica 73 (5):1551–85.
- Cabrera, M. O., A. Rosalsky, and A. Volodin. 2012. Some theorems on conditional mean convergence and conditional almost sure convergence for randomly weighted sums of dependent random variables. Test 21:369–85.
- Daley, D. J., and D. Vere-Jones. 1988. An introduction to the theory of point processes. New York: Springer.
- Dedecker, J., and F. Merlevede. 2002. Necessary and sufficient conditions for the conditional central limit theorem. Annals of Probability 30 (3):1044–81.
- Forchini, G., B. Jiang, and B. Peng. 2015. Common shocks in panels with endogenous regressors. Working Paper 08/15. Department of Econometrics and Business Statistics, Monash University.
- Forchini, G., and B. Peng. 2015. A conditional approach to panel data models with common shocks. Econometrics 4 (4):1–12.
- Kuersteiner, G. M., and I. R. Prucha. 2013. Limit theory for panel data models with cross sectional dependence and sequential exogeneity. Journal of Econometrics 174:107–26.
- Magnus, J. R., and H. Neudecker. 1999. Matrix differential calculus with applications in statistics and econometrics. Chichester: John Wiley.
- Majerek, D., W. Nowak, and W. Ziȩba. 2005. Conditional strong law of large numbers. International Journal of Pure and Applied Mathematics 20 (2):143–56.
- Pesaran, M. H. 2006. Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica 74 (4):967–1012.
- Prakasa Rao, B. L. S. 2009. Conditional independence, conditional mixing and conditional association. Annals of the Institute of Statistical Mathematics 61:441–60.
- Rényi, A. 1963. On stable sequences of events. Sankhya: The Indian Journal of Statistics, Series A 25 (3):293–302.
- Yuan, D. M., L. R. Wei, and L. Lei. 2014. Conditional central limit theorems for a sequence of conditional independent random variables. Journal of the Korean Mathematical Society 51 (1):1–15.