cleaning up + implementing robustness checks

[ml_measurement_error_public.git] / simulations / robustness_check_notes.md

diff --git a/simulations/robustness_check_notes.md b/simulations/robustness_check_notes.md
new file mode 100644 (file)
index 0000000..e6adc8a
--- /dev/null
+++ b/simulations/robustness_check_notes.md
@@ -0,0 +1,5 @@
+# robustness_1.RDS
+
+Tests how robust the MLE method is when the model for $X$ is less precise. In the main result, we include $Z$ on the right-hand-side of the `truth_formula`. 
+In this robustness check, the `truth_formula` is an intercept-only model.
+