Identification and estimation in panel models with overspecified number of groups
Year of publication: |
2020
|
---|---|
Authors: | Liu, Ruiqi ; Shang, Zuofeng ; Zhang, Yonghui ; Zhou, Qiankun |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 215.2020, 2, p. 574-590
|
Subject: | Classification | Fixed effects | Group structure | K-means algorithm | Linear and nonlinear panel | M-estimation | Panel | Panel study | Schätztheorie | Estimation theory | Algorithmus | Algorithm | Schätzung | Estimation |
-
Identification and estimation in panel models with overspecified number of groups
Liu, Ruiqi, (2018)
-
An estimation of worker and firm effects with censored data
González de San Román, Ainara, (2014)
-
Estimation and identification of latent group structures in panel data
Mehrabani, Ali, (2023)
- More ...
-
Identification and estimation in panel models with overspecified number of groups
Liu, Ruiqi, (2018)
-
Statistical inference on panel data models : a kernel ridge regression method
Zhao, Shunan, (2021)
-
2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend*
Cao, Shiyun, (2021)
- More ...