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Publication year 2005 (3)2002 (1)2006 (1)2007 (1)2008 (1)2009 (1)Type Working Paper (8)Authors
Greene, William H (8)
Hensher, David A. (7)Rose, John (2)Rose, John M (2)Hensher, David A (1)Subjects Ordered choice, heterogeneous thresholds, random parameters, stated choice designs, information processing, ignoring attributes (2)Airline choice, stated choice experiment, willingness to pay, attribute processing strategy (1)Choice models, mixed logit, latent class, stated choice (1)Combined SP and RP data, nested logit trick, scale parameters, error component mixed logit, reference dependence (1)Mixed logit, error components, discrete choice, elasticities, value of time savings (1)Stated choice designs, relevance, complexity, information processing, willingness to pay (1)Stated choice experiment, behavioural outputs, willingness to pay, information processing strategy (1)View moreHas file(s)
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The implications of Willingness to Pay of Respondents Ignoring Specific Attributes 

Hensher, David A.; Rose, John; Greene, William H
Published 2005-01-01
Individuals processing the information in a stated choice experiment are typically assumed to evaluate each and every attribute offered within and between alternatives, and to choose their most preferred alternative. ...
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Recovering costs through price and service differentiation: Accounting for exogenous information on attribute processing strategies in airline choice 

Rose, John M; Hensher, David A.; Greene, William H
Published 2005-06-01
The entry of low cost airlines has thrown out a challenge to all airlines to find ways of attracting passengers, through a mix of fare discounting, greater frequency, improved flight times and no-frill’s levels of on-board ...
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Combining RP and SP data: Biases in using the nested logit ‘trick’ – contrasts with flexible mixed logit incorporating panel and scale effects 

Hensher, David A.; Rose, John; Greene, William H
Published 2007-09-01
It has become popular practice that joint estimation of choice models that use stated preference (SP) and revealed preference (RP) data requires a way of adjusting for scale to ensure that parameter estimates across data ...
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Ordered choices and heterogeneity in attribute processing 

Greene, William H; Hensher, David A
Published 2008-07-01
A growing number of empirical studies involve the assessment of influences on a choice amongst ordered discrete alternatives. Ordered logit and probit models are well known, including extensions to accommodate random ...
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Heteroscedastic Control for Random Coefficients and Error Components in Mixed Logit 

Greene, William H; Hensher, David A.
Published 2006-03-01
Developments in simulation methods, and the computational power that is now available, have enabled open-form discrete choice models such as mixed logit to be estimated with relative ease. The random parameter (RP) form ...
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Ordered choices and heterogeneity in attribute processing 

Greene, William H; Hensher, David A.
Published 2009-01-01
A growing number of empirical studies involve the assessment of influences on a choice amongst ordered discrete alternatives. Ordered logit and probit models are well known, including extensions to accommodate random ...
Open Access
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Accounting for Exogenous Information on Decision Maker Processing Strategies in Models of Discrete Choice: Attribute Exclusion Strategies in Airline Choice 

Rose, John M; Hensher, David A.; Greene, William H
Published 2005-08-01
In this paper, we examine the impact of individual specific information processing strategies (IPS) on the inclusion/exclusion of attributes on the parameter estimates and behavioural outputs of models of discrete choice. ...
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A Latent Class Model for Discrete Choice Analysis: Contrasts with Mixed Logit 

Greene, William H; Hensher, David A.
Published 2002-09-01
The multinomial logit model (MNL) has for many years provided the fundamental platform for the analysis of discrete choice. The basic model’s several shortcomings, most notably its inherent assumption of independence from ...
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