Combining sources of preference data

By Jordan J. Louviere, R. Meyer, D. Bunch, Richard T. Carson, Benedict G. C. Dellaert, William Michael Hanemann, David A. Hensher, J. Irwin. 2000

532 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/8f497fa3ef6898e841640fb8edd86838d5e210cd

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Citations in the corpus

Activity-Based Modeling of Travel Demand (2003, methodology): “The reader is referred to Hensher (1998a; 1998b) and Hensher et al. (1999) for applications of the HEV model to estimation from revealed and stated preference data.”
Handling respondent uncertainty in Choice Experiments: Evaluating recoding approaches against explicit modelling of uncertainty (2009, unknown): “The importance of handling variations in scale across data types has been stressed repeatedly in studies investigating the merits of joint analysis of Stated Preference and Revealed Preference data (Bradley and Daly 1994; Hensher and Bradley 1993; Adamowicz et al. 1994; Adamowicz et al. 1997; Henshe”
Small-sample properties of tests for heteroscedasticity in the conditional logit model (2006, methodology): “where is a positive scale parameter which can be shown to be inversely proportional to the error variance, (2)": = p 6 (2)" (4)”
Mixed RP/SP models incorporating interaction effects (2002, background): “Modellers, on the other hand, have different views; some strongly believe that this is really not a problem (or that it has not yet been proven, see for example Louviere & Hensher 2001 ), and there is at least one research project being proposed to address this issue squarely.”
Structural choice modelling: Theory and applications to combining choice experiments (2011, methodology): “The approach we propose extends the work of others in pooling data and in particular RP and SP (Hensher et al. 1999; Louviere et al. 1999) the benefits of which are to better specify and model the random components of utility (Ben-Akiva et al.”
Distinguishing taste variation from error structure in discrete choice data (2000, background): “In all discrete choice models there is a confound between scale and taste (Ben-Akiva and Lerman, 1985; Ben-Akiva and Morikawa, 1991; Swait and Louviere, 1993; Hensher, 1994; Bhat, 1995; Hensher et al., 1999).”
Experimental Evidence on Alternative Environmental Valuation Methods (2006, unknown): “, see Hoffman et al. [1993] and Hayes et al.”
Discrete Choice Experiments Are Not Conjoint Analysis (2010, methodology): “See Hensher et al. (2005) for a useful”
Dissecting the Random Component of Utility (2002, background): “…research reviewed later suggests that random components vary systematically with respect to a variety of factors under researcher control and=or that can be measured and taken into account (e.g., Cameron, et al. forthcoming; Dellaert, Brazell and Louviere 1999; Swait and Adamowicz 200la,b).”
Revealing Differences in Willingness to Pay due to the Dimensionality of Stated Choice Designs: An Initial Assessment (2006, background): “There is a rich literature on how two or more data sources of choice response are combined (through rescaling) to take advantage of the relative strengths of each data source (see Hensher et al. 1999, in press; Louviere et al. 2000).”