Minimum detectable effect size for main outcomes (accounting for sample
design and clustering)
MDE is roughly a 25% difference in the price adjustment frequency.
For a binary outcome (adjust/don't adjust), 5% significance and power of 0.9, we'd need 53 subjects to detect a 30ppt difference in the price adjustment frequency. So, with 60 subjects, we are closer to a 25% detectable difference. This should be enough to clearly distinguish between the different equilibria (100 vs. 0% adjustment frequencies).