no code implementations • 13 Dec 2023 • Jushan Bai
This paper derives the efficiency bound for estimating the parameters of dynamic panel data models in the presence of an increasing number of incidental parameters.
no code implementations • 16 Jun 2022 • Jushan Bai, Jiangtao Duan, Xu Han
This paper considers the likelihood ratio (LR) test for a variance change in the estimated factors.
no code implementations • 8 Sep 2021 • Jushan Bai, Serena Ng
Pervasive cross-section dependence is increasingly recognized as a characteristic of economic data and the approximate factor model provides a useful framework for analysis.
1 code implementation • 4 Mar 2021 • Ercument Cahan, Jushan Bai, Serena Ng
Economists are blessed with a wealth of data for analysis, but more often than not, values in some entries of the data matrix are missing.
no code implementations • 25 Feb 2021 • Jiangtao Duan, Jushan Bai, Xu Han
This paper estimates the break point for large-dimensional factor models with a single structural break in factor loadings at a common unknown date.
no code implementations • 15 Oct 2019 • Jushan Bai, Serena Ng
This paper proposes an imputation procedure that uses the factors estimated from a tall block along with the re-rotated loadings estimated from a wide block to impute missing values in a panel of data.