Presidential Appointments to the Supreme Court: Adding Systematic Explanation to Probabilistic Description
Gary King. 1987.
"Presidential Appointments to the Supreme Court: Adding Systematic Explanation to Probabilistic Description".
American Politics Quarterly, 15, Pp. 373–386.
Abstract
Three articles, published in the leading journals of three disciplines over the last five decades, have each used the Poisson probability distribution to help describe the frequency with which presidents were able to appoint United States Supreme Court Justices. This work challenges these previous findings with a new model of Court appointments. The analysis demonstrates that the number of appointments a president can expect to make in a given year is a function of existing measurable variables.
See Also
- [Paper] A Correction for an Underdispersed Event Count Probability Distribution (1995)
- [Paper] A Seemingly Unrelated Poisson Regression Model (1989)
- [Book] Demographic Forecasting (2008)
- [Paper] Event Count Models for International Relations: Generalizations and Applications (1989)
- [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)