Table 3. Price regression model (log price/mL) with date of implementation and date of announcement.
All | High-Tax | Low-Tax | No-Tax | |
---|---|---|---|---|
Point estimate (implement) | −0.010 | −0.008 | −0.017* | 0.017 |
Standard error | 0.01 | 0.01 | 0.01 | 0.02 |
Proportionate change (implement) | −1.0% | −0.8% | −1.7%* | 1.7% |
Point estimate (announcement) | 0.016** | 0.019* | 0.013 | 0.001 |
Standard error | 0.01 | 0.01 | 0.01 | 0.02 |
Proportionate change (announcement) | 1.6%** | 1.9%* | 1.3% | 0.1% |
Mean outcome (log price/mL) | 0.388 | 0.507 | 0.278 | 0.339 |
Number of Products | 816 | 386 | 384 | 46 |
Number of Observations | 37,699 | 19,693 | 15,632 | 2,374 |
Implement refers to September 2014 and Announcement refers to March 2014. Proportionate change = exp(point estimate) − 1.
*P < 0.05
**P < 0.01
***P < 0.001.