Changes

This study identifies all the variables affecting the sales of a drug after its patent expiry and establishes a relationship between them. This study covers US only. The need gap for the study is identified by referring to industry and academic literature, news articles and Dolcera<nowiki>’</nowiki>s client interaction. After making an exhaustive list of variables affecting the sales of the drug after its patent expiry, each variable is validated, keeping the scope of the study in mind. A model is then built by running OLS Regression, which establishes the relationship between all these variables. The model also explains the impact of each variable on the sales reduction of the drug going off-patent. It analyzes the significant variables in the model and its implications on the drug going off-patent.

The model built, using OLS Regression, is an outcome of real data points and can be applied to identify the effect of patent expiry on drugs going off-patent in the future. It will give the percentage reduction in sales for a drug after patent expiry on a yearly basis.

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