Unprecise p-values in Stargazer

Question

I want the same stars for significancies in regression output in stargazer as in the \"normal output\".

I produce data

library(\"stargazer\"); library(\"         


        

Answer 1

It may be a minor issue but Richard's answer is actually not entirely correct - his stargazer output does not report any standard errors nor potential significance stars for the variable x.

Also when reporting only a single model in stargazer manual coefficients, se, p and t values have to be provided in a list. Otherwise stargazer will report an empty list.

The (slightly) corrected example:

test <- coeftest(model, vcov = vcovHC(model, type="HC3"))
ses <- list(test[, 2])
pvals <- list(test[, 4])
stargazer(model, type="text", p=pvals, se=ses)

Output:

=======================================================================
                                         Dependent variable:           
                              -----------------------------------------
                                        Daily added investors          
                                              negative                 
                                              binomial                 
-----------------------------------------------------------------------
log(lag_raised_amount + 1)                    -0.466***                
                                               (0.124)                 

lag_target1                                   -0.661***                
                                               (0.134)                 

Constant                                      -3.480**                 
                                               (1.290)                 

-----------------------------------------------------------------------
Observations                                    6,513                  
Log Likelihood                                 -8,834                
theta                                     1.840*** (0.081)             
Akaike Inf. Crit.                              17,924                
=======================================================================
Note:                         + p<0.1; * p<0.05; ** p<0.01; *** p<0.001