Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software

[1]  M. Ben-Akiva,et al.  Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis , 2019, Foundations and Trends® in Econometrics.

[2]  Mikołaj Czajkowski,et al.  An insight into the numerical simulation bias: The comparison of different quasi Monte Carlo simulation methods under a wide range of experimental conditions , 2017 .

[3]  German Zenetti,et al.  Differences Between Classical and Bayesian Estimates for Mixed Logit Models: A Replication Study , 2017 .

[4]  D. Street,et al.  Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives , 2017, Health economics.

[5]  Maarten J. IJzerman,et al.  Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force. , 2016, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[6]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[7]  Daniele Pacifico.  lclogit: A Stata module for estimating latent class conditional logit models via the Expectation-Maximization algorithm , 2016 .

[8]  Terry N. Flynn,et al.  Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care , 2016, PharmacoEconomics.

[9]  Jordan J. Louviere,et al.  Best-Worst Scaling: Theory, Methods and Applications , 2015 .

[10]  Hong Il Yoo,et al.  The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models , 2015 .

[11]  A. Daly,et al.  Handbook of Choice Modelling , 2014 .

[12]  P. Burge,et al.  Choice modelling research in health economics , 2014 .

[13]  Matthew J. Baker.  Adaptive Markov Chain Monte Carlo Sampling and Estimation in Mata , 2014 .

[14]  E. Lancsar,et al.  Preferences for Oral Anticoagulants in Atrial Fibrillation: a Best–Best Discrete Choice Experiment , 2014, PharmacoEconomics.

[15]  Joffre Swait,et al.  Reconceptualising the External Validity of Discrete Choice Experiments , 2014, PharmacoEconomics.

[16]  Hong Il Yoo,et al.  Lclogit: A Stata Command for Fitting Latent-Class Conditional Logit Models via the Expectation-Maximization Algorithm , 2013 .

[17]  Arne Risa Hole,et al.  Fitting the Generalized Multinomial Logit Model in Stata , 2013 .

[18]  R. Viney,et al.  Using repeated choice experiments to evaluate the impact of policy changes on cervical screening , 2013 .

[19]  Mylene Lagarde,et al.  Investigating attribute non-attendance and its consequences in choice experiments with latent class models. , 2013, Health economics.

[20]  Emily Lancsar,et al.  Best worst discrete choice experiments in health: methods and an application. , 2013, Social science & medicine.

[21]  Deborah Marshall,et al.  Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. , 2013, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[22]  Nada Wasi,et al.  COMPARING ALTERNATIVE MODELS OF HETEROGENEITY IN CONSUMER CHOICE BEHAVIOR , 2012 .

[23]  Arne Risa Hole,et al.  Inferred vs Stated Attribute Non-Attendance in Choice Experiments: A Study of Doctors' Prescription Behaviour , 2012 .

[24]  John M. Rose,et al.  Can scale and coefficient heterogeneity be separated in random coefficients models? , 2012 .

[25]  Mandy Ryan,et al.  Discrete choice experiments in health economics: a review of the literature. , 2012, Health economics.

[26]  J. Louviere,et al.  Conducting Discrete Choice Experiments to Inform Healthcare Decision Making , 2012, PharmacoEconomics.

[27]  D. Street,et al.  Preferences for new and existing contraceptive products. , 2011, Health economics.

[28]  Kyoungrae Jung,et al.  Where would you go for your next hospitalization? , 2011, Journal of health economics.

[29]  Andrew Lloyd,et al.  Conjoint analysis applications in health--a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. , 2011, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[30]  Jordan J. Louviere,et al.  Exploring Scale Effects of Best/Worst Rank Ordered Choice Data to Estimate Benefits of Tourism in Alpine Grazing Commons , 2011 .

[31]  M. Ryan,et al.  Deriving distributional weights for QALYs through discrete choice experiments. , 2011, Journal of health economics.

[32]  P. L’Ecuyer,et al.  Estimation of the mixed logit likelihood function by randomized quasi-Monte Carlo , 2010 .

[33]  David A. Hensher,et al.  Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification , 2010 .

[34]  Denzil G. Fiebig,et al.  The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity , 2010, Mark. Sci..

[35]  Arne Risa Hole,et al.  Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment. , 2008, Journal of health economics.

[36]  Jordan J. Louviere,et al.  Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information , 2008 .

[37]  Joffre Swait,et al.  Brand Effects on Choice and Choice Set Formation Under Uncertainty , 2007 .

[38]  A. Hole.  Fitting Mixed Logit Models by Using Maximum Simulated Likelihood , 2007 .

[39]  Arne Risa Hole,et al.  A comparison of approaches to estimating confidence intervals for willingness to pay measures. , 2007, Health economics.

[40]  C. Jenkins,et al.  Patient preferences for managing asthma: results from a discrete choice experiment. , 2007, Health economics.

[41]  P. Chisnall.  Mail and Internet Surveys: The Tailored Design Method , 2007, Journal of Advertising Research.

[42]  Emily Lancsar,et al.  Several methods to investigate relative attribute impact in stated preference experiments. , 2007, Social science & medicine.

[43]  Joanna Coast,et al.  Developing attributes and levels for discrete choice experiments using qualitative methods , 2007, Journal of health services research & policy.

[44]  Emily Lancsar,et al.  Deleting 'irrational' responses from discrete choice experiments: a case of investigating or imposing preferences? , 2006, Health economics.

[45]  Denzil G Fiebig,et al.  What influences participation in genetic carrier testing? Results from a discrete choice experiment. , 2006, Journal of health economics.

[46]  Stephane Hess,et al.  On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice , 2006 .

[47]  Mickael Bech,et al.  Effects coding in discrete choice experiments. , 2005, Health economics.

[48]  Kenneth Train,et al.  Discrete Choice Models in Preference Space and Willingness-to Pay Space , 2005 .

[49]  Emily Lancsar,et al.  Deriving welfare measures from discrete choice experiments: inconsistency between current methods and random utility and welfare theory. , 2004, Health economics.

[50]  Joffre Swait,et al.  Using stated preference and revealed preference modeling to evaluate prescribing decisions. , 2004, Health economics.

[51]  Denzil G. Fiebig,et al.  Consumers and experts: an econometric analysis of the demand for water heaters , 2006 .

[52]  David A. Hensher,et al.  A latent class model for discrete choice analysis: contrasts with mixed logit , 2003 .

[53]  M. Ryan,et al.  Revisiting the axiom of completeness in health care. , 2003, Health economics.

[54]  R. Garrido.  Estimation Performance of Low Discrepancy Sequences in Stated Preferences , 2003 .

[55]  Joffre Swait,et al.  Context Dependence and Aggregation in Disaggregate Choice Analysis , 2002 .

[56]  Emily Lancsar,et al.  Discrete choice experiments to measure consumer preferences for health and healthcare , 2002, Expert review of pharmacoeconomics & outcomes research.

[57]  M. Larsen,et al.  The Psychology of Survey Response , 2002 .

[58]  Angela Bate,et al.  Testing the assumptions of rationality, continuity and symmetry when applying discrete choice experiments in health care , 2001 .

[59]  Daniel McFadden,et al.  Disaggregate Behavioural Travel Demand's RUM Side , 2001 .

[60]  C. Bhat.  Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model , 2001 .

[61]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[62]  D. McFadden.  Disaggregate Behavioral Travel Demand's RUM Side A 30-Year Retrospective , 2000 .

[63]  K. Train,et al.  Forecasting new product penetration with flexible substitution patterns , 1998 .

[64]  K. Train,et al.  Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level , 1998, Review of Economics and Statistics.

[65]  Michael P. Keane,et al.  A model of health plan choice:: Inferring preferences and perceptions from a combination of revealed preference and attitudinal data , 1998 .

[66]  M. Ben-Akiva,et al.  Combining revealed and stated preferences data , 1994 .

[67]  Daniel B. Suits,et al.  Dummy Variables: Mechanics v. Interpretation , 1984 .

[68]  P. Schmidt,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .

[69]  G. Maddala.  Limited-dependent and qualitative variables in econometrics: Introduction , 1983 .

[70]  Randall G. Chapaaan,et al.  Exploiting Rank Ordered Choice Set Data within the Stochastic Utility Model , 1982 .

[71]  Jerry A. Hausman,et al.  Assessing the potential demand for electric cars , 1981 .

[72]  Richard Staelin,et al.  The Choice Process for Graduate Business Schools , 1978 .

[73]  D. McFadden.  Conditional logit analysis of qualitative choice behavior , 1972 .