Chapter 14 Video 1 - Poisson Regression Model in R

In this video, we perform Poisson regression in R using the glm() function. We also examine the count variable distribution with ggplot2 functions and test for overdispersion using the dispersiontest() function from the AER package.
This is the 1st video of Chapter 14 for the book Quantitative Social Science Data with R, 2nd Edition (Sage).
April 2023 Update: Data & codebooks are now available for these R tutorials: study.sagepub....

[@GaurangiBhoot]

how to add fixed time effects in this model?

[@qssd]

The simplest way is to add a factor version of the time variable as a predictor in the model (e.g., `as.factor(year)`). But, if you have proper time series data, you probably want to explore a time series count regression model (e.g., Poisson autoregression).