A model of health plan choice:: Inferring preferences and perceptions from a combination of revealed preference and attitudinal data

By K. Harris, Michael P. Keane. 1998

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Citations in the corpus

Panel Data Discrete Choice Models of Consumer Demand (2013, methodology): “It has been studied extensively by Berry (1994), Berry et al (1995), Harris and Keane (1999), McFadden and Train (2000), Train (2003) and others.”
The Price Consideration Model of Brand Choice (2009, unknown): “Thus, (24)-(25) is what is known as a “heterogeneous” MNL model (see, e.g., Harris and Keane, 1999) that allows for both heterogeneity and state dependence in choice behavior.”
Sources of Advantageous Selection: Evidence from the Medigap Insurance Market (2006, unknown): “Keane’s research was supported by Australian Research Council grant FF0561843.”
Combining Revealed and Stated Preference Data to Estimate the Nonmarket Value of Ecological Services: An Assessment of the State of the Science (2008, unknown): “Harris and Keane (1999) provide an example of combination of attitudes and revealed preference data from health economics.”
Multilevel logistic regression for polytomous data and rankings (2003, methodology): “The model is used for both first choices (e.g., McFadden, 1973) and rankings (e.g., Hausman & Ruud, 1987).”
Extended discrete choice models : integrated framework, flexible error structures, and latent variables (2001, methodology): “One approach applied is to include indicators of psychological factors (such as responses to survey questions regarding individuals’ attitudes or perceptions) directly in the utility function as depicted in Figure 3-2 (see, for example, Koppelman and Hauser, 1979; Green, 1984; Harris and Keane, 1998”
Discrete Choice Models with Multiple Unobserved Choice Characteristics (2007, unknown): “Elrod and Keane, 1995, Harris and Keane, 1999; Keane, 1997, 2004; Goettler and Shachar, 2001) focus on the extent to which panel data allows identification of a large number of model-specific parameters.”
Accounting for Latent Attitudes in Willingness-to-Pay Studies: The Case of Coastal Water Quality Improvements in Tobago (2012, background): “This would lead to the temptation to directly incorporate these responses as explanatory variables in models (cf. Morey, 1981; Milon and Scrogin, 2006; Green, 1984; Harris and Keane, 1998).”
The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity (2010, methodology): “Although the MIXL model is formally identified given only one observation per subject (as a mixture of normal and extreme value errors may provide a slightly better fit to the data than extreme value alone), Harris and Keane (1999) showed the likelihood surface is extremely flat without repeated obs”