I am a lowly undergrad working on a research project with my university. I have only a basic grasp on regression analysis so please bear with me!
We are seeking to find consumers' willingness to pay for different factors of air travel, and especially for carbon.
Our variables are ticket price, carbon emissions, starting airport (SMF or SFO), and number of layovers. SMF is considered a more convenient choice than SFO for this scenario.
We are attempting to fit a logit model to our data. As I understand it, a logit model is useful for independent continuous variables and dependent categorical variables. Carbon emissions, a continuous variable, is directly dependent on number of layovers, a categorical variable. Does this disqualify logit modeling? If so, how should we model our data to determine WTP?