COUNT: A Program for Estimating Event Count and Duration Regressions
Gary King. 2002.
"COUNT: A Program for Estimating Event Count and Duration Regressions".
Abstract
This software is no longer being actively updated. Previous versions and information about the software are archived here.
A stand-alone, easy-to-use program for running event count and duration regression models, developed by and/or discussed in a series of journal articles by Gary King. (Event count models have a dependent variable measured as the number of times something happens, such as the number of uncontested seats per state or the number of wars per year. Duration models explain dependent variables measured as the time until some event, such as the number of months a parliamentary cabinet endures.) Winner of the APSA Research Software Award.
See Also
- [Software] Zelig: Everyone's Statistical Software (2006)
- [Paper] Aggregation Among Binary, Count, and Duration Models: Estimating the Same Quantities from Different Levels of Data (2001)
- [Paper] The Generalization in the Generalized Event Count Model, With Comments on Achen, Amato, and Londregan (1996)
- [Paper] A Correction for an Underdispersed Event Count Probability Distribution (1995)
- [Paper] Event Count Models for International Relations: Generalizations and Applications (1989)
- [Paper] Variance Specification in Event Count Models: From Restrictive Assumptions to a Generalized Estimator (1989)
- [Presentation] Public Policy for the Poor? A Randomized Evaluation of the Mexican Universal Health Insurance Program (Harvard School of Public Health) (2022)
- [Paper] Comment on 'Estimating the Reproducibility of Psychological Science' (2016)