What is he best known for?
The fields of study he is best known for:
- Statistics
- Marketing
- Artificial intelligence
His main research concerns Econometrics, Marketing, Brand equity, Discrete choice and Consumer choice.
The concepts of his Econometrics study are interwoven with issues in Latent class model, Environmental economics and Valuation.
His Marketing research includes themes of Information economics and Advertising.
Joffre Swait has researched Discrete choice in several fields, including Choice set, Preference and Revealed preference.
His Choice set study which covers Least squares that intersects with Choice modelling.
His research investigates the connection with Consumer choice and areas like Decision theory which intersect with concerns in Econometric model, Economic model and Affect.
His most cited work include:
- Stated Choice Methods: Analysis and Applications (4133 citations)
- Brand Equity as a Signaling Phenomenon (1237 citations)
- The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models (970 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Econometrics, Discrete choice, Marketing, Choice set and Microeconomics.
He combines subjects such as Mode choice, Statistics, Multinomial logistic regression and Preference with his study of Econometrics.
His Discrete choice research incorporates themes from Heteroscedasticity, Management science and Set.
His research on Marketing frequently connects to adjacent areas such as Advertising.
He has included themes like Range, Social psychology, Travel behavior and Multiple choice in his Choice set study.
His work on Preference as part of general Microeconomics study is frequently linked to Taste, therefore connecting diverse disciplines of science.
He most often published in these fields:
- Econometrics (29.17%)
- Discrete choice (28.33%)
- Marketing (24.17%)
What were the highlights of his more recent work (between 2014-2019)?
- Discrete choice (28.33%)
- Econometrics (29.17%)
- Sample (5.00%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Discrete choice, Econometrics, Sample, Multiple goal and Management science.
His Discrete choice research includes elements of Choice set, Preference, Set and Operations research.
His Choice set study integrates concerns from other disciplines, such as Microeconomics, Test data generation and Social psychology.
Joffre Swait works mostly in the field of Microeconomics, limiting it down to topics relating to Process and, in certain cases, Marketing.
When carried out as part of a general Econometrics research project, his work on Random utility models is frequently linked to work in Discrete choice experiment, therefore connecting diverse disciplines of study.
The concepts of his Sample study are interwoven with issues in Latent class model, Variety, Gerontology and Activities of daily living.
Between 2014 and 2019, his most popular works were:
- Valuing the Child Health Utility 9D: using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm (46 citations)
- Channels for search and purchase: Does mobile Internet matter? (29 citations)
- The effect of choice set misspecification on welfare measures in random utility models (22 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Marketing
- Artificial intelligence
Joffre Swait spends much of his time researching Econometrics, Discrete choice, Valuation, Multiple goal and Consumer choice.
In general Econometrics, his work in Logit is often linked to Quality-adjusted life year linking many areas of study.
The study incorporates disciplines such as Microeconomics, Public economics and Identification in addition to Discrete choice.
His work is dedicated to discovering how Valuation, Random utility models are connected with Choice set and other disciplines.
His research in Choice set intersects with topics in Test data generation, Preference and Set.
His biological study spans a wide range of topics, including Advertising, Digital marketing, Survey data collection and Communication channel.
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