Econometric Issues in Estimating Consumer Preferences from Stated Preference Data: A Case Study of the Value of Automobile Travel Time

A Rank‐ordered Logit Model With Unobserved Heterogeneity in Ranking Capabilities

“…Therefore we have to assume that the IIA property holds. If one wants to relax this assumption, our proposed strategy can be incorporated in rank-ordered probit models (Hajivassiliou and Ruud, 1994) or mixed rank-ordered logit model of Calfee et al (2001), which do not suffer from the IIA assumption.…”

Public Perceptions of Pricing Existing Roads and Other Transportation Policies: The Texas Perspective

“…2 More recent applications include Hajivassiliou and Ruud's (1994) rank ordered probit analysis and Calfee et al (2001) mixed logit analysis (in a study of travel time valuations). Essentially, Equation 1 is a set of nested, conditional probabilities, one logit probability after another, as the top-rated alternative is included and then removed from the choice set, and then next-best rated alternative is removed, and so forth, until only two alternatives remain (for a standard binary logit).…”

A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation

“…Apart from the WTP space parameterization, these models are like the mixed ROL models of Layton (2000), Calfee, Winston and Stempski (2001), Train and Winston (2007) and Train (2008) which conceptualize an observed rank ordering as a realization of random preference orderings. Following Train and Weeks (2005), our specification assumes a multivariate normal distribution of random utility parameters ln(λ n ), κ n and ω n , where the notations refer to the random utility function in equation (11).…”