Sieve estimation of time-varying panel data models with latent structures
Year of publication: |
2019
|
---|---|
Authors: | Su, Liangjun ; Wang, Xia ; Jin, Sainan |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 37.2019, 2, p. 334-349
|
Subject: | Panel data | Classifier-Lasso | Functional coefficient | Heterogeneity | Latent structure | Penalized sieve estimation | Polynomial splines | Time-varying coefficients. | Panel | Panel study | Schätztheorie | Estimation theory | Schätzung | Estimation | Nichtparametrisches Verfahren | Nonparametric statistics |
-
Sieve instrumental variable quantile regression estimation of functional coefficient models
Su, Liangjun, (2016)
-
Nonparametric estimation of the density of a change-point
Carrasco, Marine, (2024)
-
Harding, Matthew C., (2013)
- More ...
-
Profile quasi-maximum likelihood estimation of partially linear spatial autoregressive models
Su, Liangjun, (2010)
-
A nonparametric poolability test for panel data models with cross section dependence
Jin, Sainan, (2013)
-
Sieve estimation of panel data models with cross section dependence
Su, Liangjun, (2012)
- More ...