From the course: Advanced and Specialized Statistics with Stata
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Poisson model - Stata Tutorial
From the course: Advanced and Specialized Statistics with Stata
Poisson model
- [Instructor] Let's examine Poisson regression. A popular regression method to examine count data models. Many count processes follow a Poisson distribution. For example, the number of customers calling a call center. People visiting a website. Or even movement in stock price can often follow a Poisson process. A Poisson regression is a type of regression that tries to explain a count process through a series of explanatory variables using the Poisson distribution. Poisson regression is a no-linear type of regression and we need to take care when interpreting its results. Poisson models make certain assumptions. Poisson models assume that events are independent of each other. For example, counting the number of buses turning up at a bus stop is likely to fail this assumption since buses are deliberately spaced apart. For some models we also assume that average rate of events per tine period called the incidence…
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