What is he best known for?
The fields of study he is best known for:
- Statistics
- Law
- Microeconomics
Expected utility hypothesis, Econometrics, Experimental economics, Ambiguity and Social psychology are his primary areas of study.
His study on Expected utility hypothesis is mostly dedicated to connecting different topics, such as Criticism.
John D. Hey interconnects Consistency, Markov process, Comparative statics, Axiom and Unemployment in the investigation of issues within Econometrics.
The concepts of his Experimental economics study are interwoven with issues in Common value auction, Statistics, Experimental data, Akaike information criterion and Rank-dependent expected utility.
His Experimental data research incorporates elements of Preference, Pairwise comparison and Likelihood-ratio test.
His Social psychology research incorporates themes from Test, Argument, Lottery and Incentive.
His most cited work include:
- Investigating Generalisations of Expected Utility Theory using Experimental Data (843 citations)
- Relative Deprivation and the Gini Coefficient: Comment (203 citations)
- AN EXPERIMENTAL ANALYSIS (199 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Econometrics, Experimental economics, Ambiguity, Expected utility hypothesis and Microeconomics.
John D. Hey has included themes like Subjective expected utility, Statistics, Pairwise comparison, Rank-dependent expected utility and Series in his Econometrics study.
His Experimental economics research includes elements of Simple, Common value auction and Preference.
His research integrates issues of Mixture model, Skewness, Preference and Goodness of fit in his study of Expected utility hypothesis.
His Microeconomics study combines topics from a wide range of disciplines, such as Test and Unemployment.
In his study, Dynamic inconsistency is inextricably linked to Dynamic decision-making, which falls within the broad field of Cognitive psychology.
He most often published in these fields:
- Econometrics (30.20%)
- Experimental economics (26.73%)
- Ambiguity (25.25%)
What were the highlights of his more recent work (between 2009-2021)?
- Ambiguity (25.25%)
- Econometrics (30.20%)
- Experimental economics (26.73%)
In recent papers he was focusing on the following fields of study:
John D. Hey mainly investigates Ambiguity, Econometrics, Experimental economics, Preference and Expected utility hypothesis.
The study incorporates disciplines such as Predictive power, Rank-dependent expected utility, Decision field theory and Subjective expected utility in addition to Econometrics.
John D. Hey has researched Experimental economics in several fields, including Simple, Common value auction and Applied mathematics.
His Simple research incorporates themes from Cognitive psychology, Dynamic inconsistency and Mechanism.
He has researched Preference in several fields, including Randomness, Mathematical economics, Indifference curve and Construct.
His studies in Expected utility hypothesis integrate themes in fields like Mixture model, Skewness, Preference and Goodness of fit.
Between 2009 and 2021, his most popular works were:
- The Descriptive and Predictive Adequacy of Theories of Decision Making Under Uncertainty/Ambiguity (104 citations)
- Mixture Models of Choice Under Risk (99 citations)
- Mixture Models of Choice Under Risk (99 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Law
- Microeconomics
His primary areas of study are Ambiguity, Econometrics, Expected utility hypothesis, Experimental economics and Statistics.
The concepts of his Econometrics study are interwoven with issues in Predictive power and Subjective expected utility.
The Subjective expected utility study combines topics in areas such as Contrast, Series and Preference.
His biological study spans a wide range of topics, including Simple, Operations management, Dynamic inconsistency, Common value auction and Preference.
The various areas that John D. Hey examines in his Common value auction study include Compromise, Cognitive psychology, Axiom and Counterintuitive.
John D. Hey studies Mixture model which is a part of Statistics.
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