xtevent
Table of contents
Notes
- Based on: Freyaldenhoven, Hansen, Shapiro (2019). Pre-event Trends in the Panel Event-Study Design
- Program version (if available): 3.1.0 July 11, 2024
- Last checked: Nov 2024
Installation and options
ssc install xtevent, replace
Take a look at the help file:
help xtevent
Test the command
Let’s try the basic command:
Please make sure that you generate the data using the script given here
gen gvar = first_treat
gen never_treat = first_treat==. // never treated group
xtevent Y, pol(D) p(id) t(t) w(9) cohort(gvar) control_cohort(never_treat)
which shows this output:
Linear regression, absorbing indicators Number of obs = 1,363
Absorbed variable: id No. of categories = 30
F(124, 1209) = 221.26
Prob > F = 0.0000
R-squared = 0.9699
Adj R-squared = 0.9661
Root MSE = 12.4519
------------------------------------------------------------------------------
Y | Coefficient Std. err. t P>|t| [95% conf. interval]
-------------+----------------------------------------------------------------
_k_eq_m10 | 18.15578 4.048421 4.48 0.000 10.21306 26.09849
_k_eq_m9 | 1.69811 5.095058 0.33 0.739 -8.298027 11.69425
_k_eq_m8 | .7407838 4.890765 0.15 0.880 -8.854545 10.33611
_k_eq_m7 | -.8127252 4.72429 -0.17 0.863 -10.08144 8.455992
_k_eq_m6 | -1.877507 4.650289 -0.40 0.686 -11.00104 7.246026
_k_eq_m5 | -2.868383 4.172285 -0.69 0.492 -11.05411 5.31734
_k_eq_m4 | 1.819757 5.10636 0.36 0.722 -8.198554 11.83807
_k_eq_m3 | 1.218878 5.04484 0.24 0.809 -8.678735 11.11649
_k_eq_m2 | .7091566 4.99963 0.14 0.887 -9.099757 10.51807
_k_eq_p0 | 14.29549 6.181089 2.31 0.021 2.168633 26.42234
_k_eq_p1 | 20.56001 5.980967 3.44 0.001 8.825781 32.29424
_k_eq_p2 | 26.893 5.888789 4.57 0.000 15.33962 38.44638
_k_eq_p3 | 32.75074 5.674203 5.77 0.000 21.61837 43.88312
_k_eq_p4 | 38.8536 5.818875 6.68 0.000 27.43738 50.26981
_k_eq_p5 | 44.64604 5.927146 7.53 0.000 33.0174 56.27467
_k_eq_p6 | 51.70155 5.917038 8.74 0.000 40.09275 63.31035
_k_eq_p7 | 57.33333 6.301961 9.10 0.000 44.96933 69.69732
_k_eq_p8 | 63.44384 6.605816 9.60 0.000 50.48371 76.40398
_k_eq_p9 | 68.69211 6.911169 9.94 0.000 55.1329 82.25133
_k_eq_p10 | 137.5108 5.500292 25.00 0.000 126.7196 148.302
------------------------------------------------------------------------------
The graph can be generated as follows using event_plot command:
matrix xt_b = e(b)
matrix xt_v = e(V)
event_plot xt_b#xt_v, default_look graph_opt(xtitle("Periods since the event") ytitle("Average effect") ///
title("xtevent")) stub_lag(_k_eq_p#) stub_lead(_k_eq_m#) together
