Assessing the influence of design dimensions on stated choice experiment estimates

By Sebastian Caussade, Juan de Dios Ortúzar, L. Rizzi, David A. Hensher. 2005

633 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/094769f8c2288ed4f84553101c27ac8eb29adb6a

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Citations in the corpus

Estimation on stated-preference experiments constructed from revealed-preference choices (2008, background): “Applications include Hensher and Greene (2003), Hensher (2004, 2006), and Caussade et al. (2005).(2) The advantage of pivoting is that it creates more realism in the sp experiments by assuring that the alternatives are similar to that which the respondent has experienced in an rp setting.”
Stated and inferred attribute non-attendance in a design of designs approach (2014, background): “Influences of choice task complexity have been analysed in terms of several issues such as error variance (e.g., Caussade et al., 2005; Meyerhoff et al., 2014) or the number of status quo choices (e.g., Boxall et al., 2009).”
The Application of Factorial Surveys in General Population Samples: The Effects of Respondent Age and Education on Response Times and Response Consistency (2011, methodology): “Following similar approaches in the research into the response consistency in choice experiments (Caussade et al. 2005; Swait and Adamowicz 2001), the analysis was based on the unexplained variance in the vignette judgments.”
Revealing Differences in Willingness to Pay due to the Dimensionality of Stated Choice Designs: An Initial Assessment (2006, background): “Carlsson and Martinsson (2003) have recently shown, using Monte-Carlo simulation, that D-optimal designs, like orthogonal designs, produce unbiased parameter estimates but that the former have lower mean square errors.”
Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why* (2008, neutral): “More recently, Hensher (2004, 2006a,b) and Caussade et al. (2005) examined all of the above effects simultaneously.”
Can scale and coefficient heterogeneity be separated in random coefficients models? (2012, methodology): “…the basis of measurable information relating to the respondent or the choice environment, using a Heteroscedastic Multinomial Logit (HMNL) model (see e.g. Caussade et al., 2005; Dellaert et al., 1999; Hensher et al., 1998; Louviere et al., 2000; Swait and Adamowicz, 2001; Swait and Louviere, 1993).”
Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China (2018, background): “In total, 60 different scenarios were expertly generated for short-distance trips while satisfying the required degree of freedom in order to maintain orthogonality (Caussade et al., 2005; Hensher et al., 2005).”
Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment (2015, background): “At the same time, the inclusion of a large number of attributes creates large dimensions in a stated preference context that can result in biased model estimation (Caussade et al., 2005; Hensher, 2006).”
The impact of service and government-policy attributes on consumer preferences for electric vehicles in China (2019, methodology): “It is widely acknowledged that 24 choice scenarios are too many for a single respondent (Caussade et al., 2005), so we used random blocking to assign six choice”
Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys (2014, background): “Several authors have found evidence of choice complexity in CE leading to seemingly irrational behaviour (Bradley and Daly 1994; Mazzotta and Opaluch 1995; Swait and Adamowicz 2001; DeShazo and Fermo 2002; Caussade et al. 2005).”
Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms (2014, neutral): “Our motivation stems from focus group results and from the literature on complexity in choice experiments (Arentze et al., 2003; Caussade et al., 2005; Deshazo and Fermo, 2002; Mazzotta and Opaluch, 1995; Stopher and Hensher, 2000; Swait and Adamowicz, 2001).”