Time-varying linear transformation models with fixed effects and endogeneity for short panels
Year of publication: |
[2022]
|
---|---|
Authors: | Botosaru, Irene ; Muris, Chris ; Sokullu, Senay |
Publisher: |
[London] : Cemmap, Centre for Microdata Methuods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL |
Subject: | Lernmethode | Learning method | Bildungsniveau | Educational achievement | Panel | Panel study | Nichtlineare Regression | Nonlinear regression | Schätztheorie | Estimation theory | USA | United States |
-
Time-varying linear transformation models with fixed effects and endogeneity for short panels
Sokollu, Senay, (2022)
-
Time-varying linear transformation models with fixed effects and endogeneity for short panels
Botosaru, Irene, (2022)
-
Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels
Botosaru, Irene, (2022)
- More ...
-
Time-varying linear transformation models with fixed effects and endogeneity for short panels
Botosaru, Irene, (2022)
-
Time-varying linear transformation models with fixed effects and endogeneity for short panels
Botosaru, Irene, (2022)
-
Binarization for panel models with fixed effects
Botosaru, Irene, (2017)
- More ...