TY  - CHAP
AB  - Abstract The presence of respondents with apparently extreme sensitivities in choice data may have an important influence on model results, yet their role is rarely assessed or even explored. Irrespective of whether such outliers are due to genuine preference expressions, their presence suggests that specifications relying on preference heterogeneity may be more appropriate. In this paper, we compare the potential of discrete and continuous mixture distributions in identifying and accommodating extreme coefficient values. To test our methodology, we use five stated preference datasets (four simulated and one real). The real data were collected to estimate the existence value of rare and endangered fish species in Ireland.
SN  - 978-1-84950-773-8, 978-1-84950-772-1/
DO  - 10.1108/9781849507738-015
UR  - https://doi.org/10.1108/9781849507738-015
AU  - Campbell Danny
AU  - Hess Stephane
AU  - Scarpa Riccardo
AU  - Rose John M.
ED  - Stephane Hess
ED  - Andrew Daly
PY  - 2010
Y1  - 2010/01/01
TI  - Accommodating Coefficient Outliers in Discrete Choice Modelling: A Comparison of Discrete and Continuous Mixing Approaches
T2  - Choice Modelling: The State-of-the-art and The State-of-practice
PB  - Emerald Group Publishing Limited
SP  - 331
EP  - 352
Y2  - 2024/09/20
ER  -