Fixed-effect Poisson model
id:
fixed-effect-poisson-model-287-7477348
title:
Fixed-effect Poisson model
text:
In statistics, a fixed-effect Poisson model is a Poisson regression model used for static panel data when the outcome variable is count data. Hausman, Hall, and Griliches pioneered the method in the mid 1980s. Their outcome of interest was the number of patents filed by firms, where they wanted to develop methods to control for the firm fixed effects. Linear panel data models use the linear additivity of the fixed effects to difference them out and circumvent the incidental parameter problem. Ev
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical models used for static panel data
original url:
https://en.wikipedia.org/wiki/Fixed-effect_Poisson_model
date created:
date modified:
2024-02-12T10:25:50Z
main entity:
{"identifier":"Q25111834","url":"https://www.wikidata.org/entity/Q25111834"}
image:
fields total:
13
integrity:
14