Positive Price Coefficient
Posted: 30 Oct 2024, 20:57
In this year's Choice Academy, instructors discussed that when price is distributed negative lognormal we may not expect the price coefficient to be negative in our mixed logit models (rather the sign and size are related to the level of price sensitivity). For example, when I run my mixed logit model price is estimated to be positive (mean=0.49; sd=1.39). When I estimate the unconditional for price (following it's distributional assumptions) it is negative (−4.30). However, it seems uncommon in DCE papers to have a positive price coefficient reported. Following this, I have two questions about how to handle when an estimated price coefficient in a mixed logit model.
First: When reporting results from the estimation, should I report the price coefficient with standard error in the main table and the unconditional below? Or should I be reporting the unconditional?
Second: If we also run the same model in WTP space (e.g., b_price(a1*attribute1 + a2*attribute2 + ... )) , the positive coefficient outside of the paratheses seems to flip the expected signs of all attributes (distributed normal) inside the parentheses. Again here, is there a best practice for how to proceed with a positive price coefficient?
Thanks for all you do!
First: When reporting results from the estimation, should I report the price coefficient with standard error in the main table and the unconditional below? Or should I be reporting the unconditional?
Second: If we also run the same model in WTP space (e.g., b_price(a1*attribute1 + a2*attribute2 + ... )) , the positive coefficient outside of the paratheses seems to flip the expected signs of all attributes (distributed normal) inside the parentheses. Again here, is there a best practice for how to proceed with a positive price coefficient?
Thanks for all you do!