Linear regression models of log price of test kits sold (Coefficient, standard error) | |||||
---|---|---|---|---|---|
Model | 1 | 2 | 3 | 4 | 5 |
Predictors | Age | Sex | Age & Sex | All | All (age-sex) |
Customer age | – | ||||
- 15–19 | ref | – | ref | ref | ref |
- 20–24 | 0.617** (0.168) | – | 0.367* (0.151) | 0.150** (0.044) | 0.082 (0.046) |
- 25–34 | 0.817*** (0.193) | – | 0.252 (0.133) | 0.231** (0.062) | 0.107** (0.037) |
- 35–44 | 0.884*** (0.207) | – | 0.338* (0.151) | 0.198** (0.056) | 0.065 (0.057) |
- 45–54 | 1.069*** (0.204) | – | 0.535** (0.157) | 0.219* (0.086) | 0.120* (0.054) |
Customer sex (Male) | – | −0.049 (0.075) | −0.608** (0.202) | −0.002 (0.026) | −0.145* (0.059) |
P-values from F-tests of joint significance | |||||
Age | < 0.001 | – | 0.031 | 0.013 | 0.029 |
Sex | – | 0.518 | 0.007 | 0.927 | 0.023 |
Age x Sex interaction | – | – | 0.079 | – | 0.233 |
Shop | – | – | – | < 0.001 | < 0.001 |
Week | – | – | – | 0.023 | 0.042 |
Control variables included in model | |||||
- Treatment status | X | X | X | X | X |
- Shop fixed effects | – | – | – | X | X |
- Week fixed effects | – | – | – | X | X |
R2 | 0.166 | 0.0147 | 0.195 | 0.802 | 0.803 |
N | 506 | 499 | 492 | 492 | 492 |