Models for count data with endogenous participation

By William H. Greene. 2009

55 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/209551216ef697d358aaef24380d0f676d031bbb

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

1. Marco Alfò
2. Chandra R. Bhat
3. Antonello Maruotti
4. Kenneth Train
5. Naveen Eluru
6. William H. Greene
7. Stephane Hess
8. David A. Hensher

In Statistics and Probability

1. Marco Alfò
2. Chandra R. Bhat
3. Antonello Maruotti
4. Kenneth Train
5. William H. Greene
6. Stephane Hess
7. David A. Hensher
8. Junyi Shen

Citations in the corpus

• Two‐part regression models for longitudinal zero‐inflated count data (2010, methodology): “According to Min & Agresti (2005) and Greene (2009), we allow for an endogenous decision step by including correlated random effects in the model specification.”
• The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models (2014, methodology): “The reader is also referred to Greene and Hensher (2010) for a comprehensive history and treatment of the ordered-response model structure.”