J Econometrics
Introduction
Journal of Econometrics, 233(1)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
https://www.sciencedirect.com/journal/journal-of-econometrics/vol/233/issue/1?
Multi-dimensional latent group structures with heterogeneous distributions
—Xuan Leng, Heng Chen, Wendun Wang [Google Scholar]
Canonical correlation-based model selection for the multilevel factors
—In Choi, Rui Lin, Yongcheol Shin [Google Scholar]
Estimation of panel group structure models with structural breaks in group memberships and coefficients
—Robin L. Lumsdaine, Ryo Okui, Wendun Wang [Google Scholar]
Shrinkage estimation of network spillovers with factor structured errors
—Ayden Higgins, Federico Martellosio [Google Scholar]
A test for Kronecker Product Structure covariance matrix
—Patrik Guggenberger, Frank Kleibergen, Sophocles Mavroeidis [Google Scholar]
Factor-based imputation of missing values and covariances in panel data of large dimensions
—Ercument Cahan, Jushan Bai, Serena Ng [Google Scholar]
Group fused Lasso for large factor models with multiple structural breaks
—Chenchen Ma, Yundong Tu [Google Scholar]
High-dimensional VARs with common factors
—Ke Miao, Peter C.B. Phillips, Liangjun Su [Google Scholar]
Treatment effects in interactive fixed effects models with a small number of time periods
—Brantly Callaway, Sonia Karami [Google Scholar]
Quasi-maximum likelihood estimation of break point in high-dimensional factor models
—Jiangtao Duan, Jushan Bai, Xu Han [Google Scholar]
Information criteria for latent factor models: A study on factor pervasiveness and adaptivity
—Xiao Guo, Yu Chen, Cheng Yong Tang [Google Scholar]
Identifying latent factors based on high-frequency data
—Yucheng Sun, Wen Xu, Chuanhai Zhang [Google Scholar]
Large dimensional latent factor modeling with missing observations and applications to causal inference
—Ruoxuan Xiong, Markus Pelger [Google Scholar]
Testing for structural changes in large dimensional factor models via discrete Fourier transform
—Zhonghao Fu, Yongmiao Hong, Xia Wang [Google Scholar]