A Seemingly Unrelated Poisson Regression Model
Gary King. 1989.
"A Seemingly Unrelated Poisson Regression Model".
Sociological Methods and Research, 17, Pp. 235–255.
Abstract
This article introduces a new estimator for the analysis of two contemporaneously correlated endogenous event count variables. This seemingly unrelated Poisson regression model (SUPREME) estimator combines the efficiencies created by single equation Poisson regression model estimators and insights from “seemingly unrelated” linear regression models.
See Also
- [Paper] A Correction for an Underdispersed Event Count Probability Distribution (1995)
- [Book] Demographic Forecasting (2008)
- [Paper] Event Count Models for International Relations: Generalizations and Applications (1989)
- [Paper] Presidential Appointments to the Supreme Court: Adding Systematic Explanation to Probabilistic Description (1987)
- [Paper] Statistical Models for Political Science Event Counts: Bias in Conventional Procedures and Evidence for The Exponential Poisson Regression Model (1988)
- [Paper] The Generalization in the Generalized Event Count Model, With Comments on Achen, Amato, and Londregan (1996)
- [Book] Unifying Political Methodology: The Likelihood Theory of Statistical Inference (1998)
- [Paper] Variance Specification in Event Count Models: From Restrictive Assumptions to a Generalized Estimator (1989)