This document discusses various topics related to generics and generic drug pricing, including data sources, price decay over time, seasonal fluctuations, generic company strategies, exchange rates, and challenges with forecasting generic prices. It notes that each generic drug's price appears to have its own unique decay pattern and can be modeled with statistical formulas specific to that product. Forecasting generic prices is challenging due to different rates of price decay even within the same therapeutic categories or market values.
How do companies set or predict prices. What would you do?
A guess could be based on a particular competitor, or a key supplier, or an average, but it is still at heart a guess
Trend lines can be added to what data you have, but often more than one line can be fitted to the same trend, and if you only have a few months of post patent generic prices, many trends could be fitted to the same data – each one a guess.
The price went up, as it was following a hidden pattern, not immediately obvious to the uninformed
Trend lines can be added to what data you have, but often more than one line can be fitted to the same trend, and if you only have a few months of post patent generic prices, many trends could be fitted to the same data – each one a guess.
Trend lines can be added to what data you have, but often more than one line can be fitted to the same trend, and if you only have a few months of post patent generic prices, many trends could be fitted to the same data – each one a guess.
But sometimes they don't
Each could be connected with the underlying factors
Even the rises in price due to availability and price could be predicted
Even the rises in price due to availability and price could be predicted