I want to answer the broad question: In the absence of prices, how are decisions made?
I have data on the determinants of market share in an environment without prices. So, imagine, person A chooses technology C at time X of a certain size, speed, and resolution (all measurable). And I have data for thousands of people and the technologies they choose over a time period of about 10 years. So again, imagine, changes in quality (a newer high-quality technology is developed) and this shocks the system, therefore demand changes as technology A is replaced by technology B, and then a few years later, technology C is available, etc., in an environment where everything is free and only 3 technologies are available, for example.
How do I model elasticity with respect to quality?
The data is stored in MySQL and I typically use Stata for statistical regression. Can you link me to a good example of an empirical test for this type of problem, or, at least, a step-by-step description of what info I need?