A discrete choice model with endogenous attribute attendance

By Arne Hole. 2011

145 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions

View Paper: https://www.semanticscholar.org/paper/f44c428105f8780a51e22b0b7d59636c8e52a1a0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. S. B. Olsen
2. Stephane Hess
3. Riccardo Scarpa
4. David A. Hensher
5. N. Hanley
6. D. Campbell
7. John M. Rose
8. J. Meyerhoff

In General Health Professions

1. P. Weller
2. D. Campbell
3. Vikki O’Neill
4. Stephane Hess
5. Christian A. Vossler
6. R. Johnston
7. J. Meyerhoff
8. Petr Mariel

Citations in the corpus

• Latent class structures: taste heterogeneity and beyond (2014, methodology): “A key role in this area was played by the early discussions in Hess and Rose (2007), who proposed the use of a latent class approach to accommodate attribute non-attendance, a method since adopted by numerous other studies (e.g. Hensher et al., 2012; Scarpa et al., 2009; Hensher and Greene, 2010; Ho”
• Contemporary Guidance for Stated Preference Studies (2017, background): “…nonattendance (Campbell, Hutchinson, and Scarpa 2008; Scarpa et al. 2009; Scarpa, Thiene, andHensher 2010; Campbell, Hensher, and Scarpa 2011; Hole 2011; Hensher, Rose, and Greene 2012; Hole, Kolstad, and Gyrd-Hansen 2013), omitted attributes (Petrin and Train 2003), bid amount effects…”
• It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity (2013, methodology): “A key role in this context was played by the early discussions in Hess and Rose (2007), who proposed the use of a latent class approach to accommodate attribute non-attendance, a method since adopted by numerous other studies (e.g. Hensher et al., 2011; Scarpa et al., 2009; Hensher and Greene, 2010;”
• Attending to the Reasons for Attribute Non-attendance in Choice Experiments (2011, background): “Hole (2010) examines the impact of attribute non-attendance in CE designed to determine the preference of patients for primary care consultation.”
• Stated and inferred attribute non-attendance in a design of designs approach (2014, methodology): “Note: MECLM = Multinomial error component logit model; (M)EAAModel = (Mixed) endogenous attribute attendance model (Hole, 2011); STAS = Stochastic attribute selection; MXL = Random parameter model with error components; LC-MMNL = Latent class mixed logit model”