We propose a unifying framework for multilevel modeling of polytomous data and rankings, accommodating dependence induced by factor and/or random coefficient structures at different levels. The framework subsumes a wide range of models proposed in disparate methodological literatures. Partial and tied rankings, alternative specific explanatory variables and alternative sets varying across units...

In this appendix, I discuss the differences in the estimates of the model that I use in this paper (baseline model) with the estimates of a random coefficient logit model. Table 7 shows the results of the estimation of both models using the subsample of customers who always purchased Diet Coke products. The table shows that the coefficients on price and the refillable dummy are not statisticall...

This paper examines contingent valuation and contingent rating/ranking valuation methods (CV and CR methods) for measuring willingness-to-pay (WTP) for nonmarket goods. Recent developments in discrete choice econometrics using random parameter models are applied to CV and CR data and their performance evaluated in comparison to conventionally used fixed parameter models. A framework for using d...

A standard correction for random guessing on multiple-choice examinations was examined retrospectively in an oral and maxillofacial pathology course for second-year dental students. The correction was a weighting formula for points awarded for correct answers, incorrect answers, and unanswered questions such that the expected value of the increase in test score due to guessing was zero. We comp...

BACKGROUND Built environment research is dominated by cross-sectional designs, which are particularly vulnerable to residential self-selection bias resulting from health-related attitudes, neighborhood preferences, or other unmeasured characteristics related to both neighborhood choice and health-related outcomes. METHODS We used cohort data from the National Longitudinal Study of Adolescent ...

This paper considers structural nonparametric random utility models for continuous choice variables. It provides sufficient conditions on random preferences to yield reducedform systems of nonparametric stochastic demand functions that allow global invertibility between demands and random utility components. Invertibility is essential for global identification of structural consumer demand mode...