Example testing equality between taco and burrito DiD coefficients:
Get monthly DiD estimates for taco and burrito.
Do a paired t-test using estimates in the first year, extracting the p-value. This tells us if the pair-wise monthly coefficients in the first year are significantly different between tacos and burritos.
Repeat for the second-year estimates.
Adopt some kind of correction for the numerous pair-wise comparisons/hypotheses we're testing. Bonferroni correction = divide the significant threshold by the number of within-category comparisons we're making. So, if we're comparing 5 item categories, the threshold is now $${0.05 \over 5} = 0.01 $$
This, versus just looking at the CIs give us quite different conclusions.
Talk through whether this approach sounds right:
Example testing equality between taco and burrito DiD coefficients:
This, versus just looking at the CIs give us quite different conclusions.