Fixed and Random Effects Models for Count Data
By William H. Greene. 2007
118 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/367c8c5c22e164144cc68f7d098e0bc7f90a8e98
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Ralf Martin
- Antoine Dechezleprêtre
- Myra Mohnen
- Laura A. Bakkensen
- R. Mendelsohn
- Anindya Ghose
- Sang Pil Han
- Salvatore Di Falco
Citations in the corpus
- Risk and Adaptation: Evidence from Global Hurricane Damages and Fatalities (2016, methodology): “Since we use identical regressors in both our equations, there is no efficiency gain in the SUR model relative to the OLS model (Greene 2003); thus, the estimated equations are identical.”
- An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet (2011, methodology): “Therefore, we did implement a Poisson fixed effect model in which the incidental parameter problem is not a problem (Lancaster 2000, Greene 2007).”
- Knowledge Spillovers from Clean and Dirty Technologies (2014, background): “…effects negative binomial estimator available in stata (xtnbreg, fe) untrustable, since it does not truly conditions out the fixed effects (only the overdispersion coefficient is assumed to vary across units - see Allison and Waterman (2002); Greene (2007), for more information on this issue).”