The No-Nonsense Guide to the Random Effects Regression Model

And a Python tutorial to get you up and running with the RE model on a real world data set

The Random Effects regression model is used to estimate the effect of individual-specific characteristics such as grit or acumen that are inherently unmeasurable. Such individual-specific effects are often encountered in panel data studies. Along with the Fixed Effect regression model, the Random Effects model is a commonly used technique to study the effect of individual-specific features on the response variable …

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