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Fixed-effects OLS estimation — feols • fixest In general, for convergence reasons, it is recommended to always add the fixed-effect and avoid using only the variable with varying slope (i e use single square brackets)
feols function - RDocumentation In general, for convergence reasons, it is recommended to always add the fixed-effect and avoid using only the variable with varying slope (i e use single square brackets)
Include interaction terms in a fixed effect model using feols I want to run a regression where the explanatory variable x1 is a variable which has a panel structure, and x2 is a time-series variable The dependent variable y has a panel structure as well The coefficient of the interaction term x1*x2 is of interest
Fast Fixed-Effects Estimation: Short Introduction Functions feols and feglm further support variables with varying slopes This package is currently (Feb 2020) the fastest software available to perform fixed-effects estimations
How to choose between plm() and feols() for fixed-effects model If the inclusion of time fixed effects using feols() was intentional, then it's important to know why you're doing this For example, you're adjusting for the common "yearly" shocks affecting the outcome
6 Regression | R for Applied Economics: A Beginner’s Guide To implement a regression with multiple independent variables, simply add them (with +) to the right hand side of the ~ symbol in your fml argument It is just like writing an equation! Often, you want to understand how a categorical variable is related to your dependent variable