Run the regression with low weight observations dropped

Re-run the regression but dropping low weight observations.

Usage

idid_drop_reg(reg, var_interest, prop_drop, ...)

Arguments

reg

A regression object.

var_interest

A string. The name of the main variable of interest.

prop_drop

Proportion of observations to drop

...

Additional elements to pass to the regression function when partialling out controls.

Value

A regression object

Details

This function recomputes the weights

Examples

reg_ex <- ggplot2::economics |>
  lm(formula = unemploy ~ pce + uempmed + psavert + pop)

idid_drop_reg(reg_ex, "pce", prop_drop = 0.1)
#> 
#> Call:
#> lm(formula = unemploy ~ pce + uempmed + psavert + pop, data = df_sliced, 
#>     use_calling_env = FALSE)
#> 
#> Coefficients:
#> (Intercept)          pce      uempmed      psavert          pop  
#>  -3.424e+04   -1.591e+00    5.742e+02    2.002e+02    1.673e-01  
#>