What is he best known for?
The fields of study he is best known for:
- Statistics
- Marketing
- Microeconomics
The scientist’s investigation covers issues in Econometrics, Choice set, Discrete choice, Marketing and Preference.
His studies in Econometrics integrate themes in fields like Statistics, Conjoint analysis, Multinomial logistic regression and Recreation.
Jordan J. Louviere interconnects Microeconomics, Revealed preference, Valuation and Cognition in the investigation of issues within Choice set.
His Discrete choice research includes themes of Data collection, Choice analysis, Econometric model, External validity and Operations research.
His Marketing research includes elements of Information economics, Advertising and Value.
His Preference research incorporates themes from Variance and Interpretation.
His most cited work include:
- Stated Choice Methods: Analysis and Applications (4133 citations)
- Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities (1195 citations)
- Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation (1135 citations)
What are the main themes of his work throughout his whole career to date?
Jordan J. Louviere mainly investigates Econometrics, Marketing, Choice set, Discrete choice and Discrete choice experiment.
The Econometrics study combines topics in areas such as Preference and Statistics, Multinomial logistic regression, Preference, Choice modelling.
His Preference study combines topics from a wide range of disciplines, such as Actuarial science and Management science.
His study in Choice modelling is interdisciplinary in nature, drawing from both Microeconomics and Valuation.
He frequently studies issues relating to Advertising and Marketing.
Choice set is closely attributed to Operations research in his work.
He most often published in these fields:
- Econometrics (25.37%)
- Marketing (17.32%)
- Choice set (12.44%)
What were the highlights of his more recent work (between 2014-2021)?
- Discrete choice experiment (11.71%)
- Packaging and labeling (2.20%)
- Process (3.17%)
In recent papers he was focusing on the following fields of study:
Jordan J. Louviere mostly deals with Discrete choice experiment, Packaging and labeling, Process, Discrete choice and Econometrics.
Jordan J. Louviere combines subjects such as Social psychology, Plain packaging, Advertising and Former Smoker with his study of Packaging and labeling.
His study looks at the intersection of Former Smoker and topics like Young adult with Choice modelling.
His Process study integrates concerns from other disciplines, such as Variation, Profitability index, Stochastic game, Incentive and Marketing.
His Discrete choice research is multidisciplinary, incorporating perspectives in Test data generation, Covariate, Applied mathematics and Multiple choice.
His work in the fields of Econometrics, such as Endogeneity, intersects with other areas such as Measurement theory.
Between 2014 and 2021, his most popular works were:
- Best-Worst Scaling: Theory, Methods and Applications (236 citations)
- Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice (28 citations)
- Testing and Extending Schwartz Refined Value Theory Using a Best-Worst Scaling Approach. (27 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Marketing
- Finance
His scientific interests lie mostly in Discrete choice experiment, Packaging and labeling, Health administration, Advertising and Plain packaging.
His work deals with themes such as Young adult, Conditional logistic regression and Choice set, which intersect with Packaging and labeling.
The various areas that Jordan J. Louviere examines in his Health administration study include Knowledge management, Health services research, Stakeholder, CINAHL and Medical education.
He has researched Knowledge management in several fields, including Process and Conjoint analysis.
His studies deal with areas such as Health economics, Public health, Multinomial logistic regression and Stakeholder engagement as well as Medical education.
His research in Plain packaging tackles topics such as Perception which are related to areas like Taste, Harm, Quality and Social psychology.
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