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- Fixed-effects OLS estimation — feols • fixest
To use multiple dependent variables in fixest estimations, you need to include them in a vector: like in c(y1, y2, y3) First, if names are stored in a vector, they can readily be inserted in a formula to perform multiple estimations using the dot square bracket operator
- Pass a vector or string with several elements for the RHS variables to . . .
I need to run multiple estimations with feols, using sw (stepwise) Since I have many variables for the right-hand side, I would like to pass them as a vector or string with the vector elements
- feols function - RDocumentation
Can be either a list of vectors, a character vector of variable names, a formula or an integer vector Assume we want to perform 2-way clustering over var1 and var2 contained in the data frame base used for the estimation
- Fast and user-friendly econometrics estimations: The R package
fixest is an R package for fast and flexible econometric estimation, providing a comprehensive toolkit for applied researchers The package particularly excels at fixed-effects estimation, supported by a novel fixed-point acceleration algorithm implemented in C++
- feols: Fixed-effects OLS estimation in fixest: Fast Fixed-Effects . . .
To use multiple dependent variables in fixest estimations, you need to include them in a vector: like in c(y1, y2, y3) First, if names are stored in a vector, they can readily be inserted in a formula to perform multiple estimations using the dot square bracket operator
- 10. 3 Fixed Effects Regression - Econometrics with R
Although including state fixed effects eliminates the risk of a bias due to omitted factors that vary across states but not over time, we suspect that there are other omitted variables that vary over time and thus cause a bias
- fixest: feols – R documentation – Quantargo
The method used to demean each variable along the fixed-effects is based on Berge (2018), since this is the same problem to solve as for the Gaussian case in a ML setup
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