Skip to content

Commit bda6bcd

Browse files
authored
Added more bold font
1 parent 4480d1e commit bda6bcd

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

content/topics/Analyze/causal-inference/did/goodmanbacon.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -48,7 +48,7 @@ Our TWFE estimate in this case would be a weighted average of all possible 2x2 c
4848

4949
The weighted average of all 2x2 comparisons is problematic for two reasons:
5050

51-
1. Forbidden comparisons/contrasts: in our example, one of the 2x2 comparisons that form part of the final TWFE estimate is as follows:
51+
1. **Forbidden comparisons/contrasts**: in our example, one of the 2x2 comparisons that form part of the final TWFE estimate is as follows:
5252

5353
| State/Year | 1 | 2 |
5454
| -------- | ------- | ------- |
@@ -61,7 +61,7 @@ This would not be a problem if the treatment effect were completely constant ove
6161

6262
The implication of these forbidden comparisons is that our supposedly causal TWFE estimates are partly composed of non-causal, biased coefficients, which actually compare treatment to treatment, as opposed to treatment to control.
6363

64-
2. Negative weights: each comparison is assigned a weight which is proportional to group size (the number of observations within the group) and variation in treatment exposure. The larger the group size and the smaller the variation in treatment exposure, the higher the attached weight. All weights sum to one, but they can also be negative – sometimes, the comparisons at the tails of the time period distribution (in very early or very late periods) can carry negative weights, as treatment variation is typically smaller there (as most groups are not yet treated in early stages or already treated in late stages).
64+
2. **Negative weights**: each comparison is assigned a weight which is proportional to group size (the number of observations within the group) and variation in treatment exposure. The larger the group size and the smaller the variation in treatment exposure, the higher the attached weight. All weights sum to one, but they can also be negative – sometimes, the comparisons at the tails of the time period distribution (in very early or very late periods) can carry negative weights, as treatment variation is typically smaller there (as most groups are not yet treated in early stages or already treated in late stages).
6565

6666
{{<katex>}}
6767
{{</katex>}}

0 commit comments

Comments
 (0)