Linear Models in R – Part 3
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A step-by-step explanation of how to fit a linear model. Here we cover GLMs (Generalized Linear Models) but focus on the Poisson link with a large number of fixed effects and work with datasets that we have to download and join to produce a final dataset to explore the effects of distance, contiguity and colonial history on exports.
You can read more about the topics covered in:
- Linear Models with R (https://julianfaraway.github.io/faraway/LMR/)
- R for Data Science (https://r4ds.had.co.nz/relational-data.html#mutating-joins) for the joins part
- Fixest documentation (https://lrberge.github.io/fixest/) to explore more about fepois()
Code: https://github.com/pachadotdev/youtube-codes/tree/main/2023-07-13-linear-models-part-3
If you like this video and want to keep learning, I organize regular 1-hour workshops and 1:1 tutoring https://www.buymeacoffee.com/pacha/
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