We present the pre and post-regulation summary statistics below. Specifically, we present the average monthly values for the regulated molecules in the pre-regulation (50 months prior to regulation) and post-regulation (12 months post-regulation) periods. From Table 2, we find that, in the year after regulation compared with the period before regulation, sales of regulated SKUs increase by around 11 million units on average. Prima-facie, one might misinterpret this increase as evidence that the regulation is working. However, there may be trends and seasonality in the data that need to be accounted for in our analysis.
Summary Statistics
Measure:
Sample size:
Pre-Regulation Average (50 months):
Pre-Regulation Std. Dev.:
Post-Regulation Average (12 months):
Post-Regulation Std. Dev:
Difference (average post – average pre):
No. of periods per molecule in the (a) pre-regulation period: 50 months; (b) post-regulation period: 12 months; (c) Difference = average post – average pre;
(d) Sales volumes (units) of 179 SKUs (from 105 molecules);
(e) Type of molecule – acute or chronic (time invariant);
(f) T1T2% refers to % prescriptions from tier 1 and tier 2 cities (molecule level);
(g) CPGPRx% refers to % prescriptions from CP/GPs (molecule level)