A nonparametric random effects estimator

By Daniel J. Henderson, Aman Ullah. 2005

62 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/019498ff1300f598b13f0d5e98257a1315f2d4c6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Christian Hansen
2. Degui Li
3. Jia Chen
4. Jiti Gao

In Economics and Econometrics

1. Alan Bester
2. Jiti Gao
3. Christian Hansen
4. Degui Li
5. Jia Chen
6. Liangjun Su
7. Victor Chernozhukov
8. Timothy J. Vogelsang

In Statistics and Probability

1. Alan Bester
2. Christian Hansen
3. Degui Li
4. Jia Chen
5. Jiti Gao
6. Victor Chernozhukov
7. Antonio F. Galvao
8. Stefan Wager

Citations in the corpus

• Grouped effects estimators in fixed effects models (2016, background): “Nonparametric random effects estimators are proposed by Lin and Carroll (2000) and Ullah and Roy (1998), with general properties of such estimators established in Henderson and Ullah (2005).”
• Estimation in Partially Linear Single-Index Panel Data Models With Fixed Effects (2013, methodology): “The existing literature mainly focuses on both nonparametric and semiparametric estimation of random effects panel data models (see, e.g., Li and Stengos 1996; Ullah and Roy 1998; Henderson and Ullah 2005).”