2006 - Distinguished Fellow of the American Economic Association
2000 - Nobel Memorial Prize laureates in Economics for his development of theory and methods for analyzing discrete choice
2000 - Nobel Prize for his development of theory and methods for analyzing discrete choice
1984 - Fellow of John Simon Guggenheim Memorial Foundation
1981 - Member of the National Academy of Sciences
1977 - Fellow of the American Academy of Arts and Sciences
1975 - John Bates Clark Medal, the American Economic Association
1970 - Fellows of the Econometric Society
His primary areas of investigation include Econometrics, Microeconomics, Estimation, Mixed logit and Multinomial probit. His Econometrics study combines topics from a wide range of disciplines, such as Relation and Multinomial logistic regression. His studies deal with areas such as Journey to work, Wage and Revenue as well as Microeconomics.
Daniel McFadden has researched Mixed logit in several fields, including Choice set, Preference heterogeneity and Discrete choice. His Choice set research is multidisciplinary, incorporating elements of Independence of irrelevant alternatives, Multinomial distribution and Conjoint analysis. His Multinomial probit research is multidisciplinary, incorporating perspectives in Logit-normal distribution, Computation and Logit.
His main research concerns Econometrics, Actuarial science, Medicare Part D, Microeconomics and Mathematical economics. His research integrates issues of Estimator, Multinomial logistic regression, Consumption and Mixed logit in his study of Econometrics. His research on Estimator focuses in particular on Asymptotic distribution.
His study in Actuarial science is interdisciplinary in nature, drawing from both Public economics and Subsidy. His Medicare Part D study spans across into areas like Adverse selection and Incentive. In his research on the topic of Mathematical economics, Dual is strongly related with Production theory.
Daniel McFadden mainly focuses on Actuarial science, Medicare Part D, Plan, Subsidy and Consumer choice. His research investigates the link between Actuarial science and topics such as Public economics that cross with problems in Environmental degradation and Contingent valuation. His Subsidy research includes elements of Legislation, Private information retrieval, Pooling, Private insurance and Break-even.
He has included themes like Consumer behaviour, Jeremy bentham and Foundation in his Consumer choice study. His research integrates issues of Total cost, Value, Fraction and Decision rule in his study of Selection. His work carried out in the field of Panel data brings together such families of science as Dummy variable, Estimation theory, Maximum likelihood and Estimator, Parametric estimation.
Daniel McFadden mostly deals with Actuarial science, Medicare Part D, Positive economics, Consumer behaviour and Consumer choice. His Actuarial science study combines topics from a wide range of disciplines, such as Environmental degradation, Public economics, Ex-ante and Contingent valuation. His research in the fields of Medicare part overlaps with other disciplines such as Plan, Risk aversion, Survey research and Least cost.
His research in Consumer behaviour intersects with topics in Discrete choice, Choice based conjoint, Conjoint analysis, Preference elicitation and Econometric methods. Daniel McFadden performs integrative study on Component and Econometrics in his works. Daniel McFadden performs integrative study on Econometrics and Causality.
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Conditional logit analysis of qualitative choice behavior
Frontiers in Econometrics (1972)
MIXED MNL MODELS FOR DISCRETE RESPONSE
Daniel McFadden;Kenneth Train.
Journal of Applied Econometrics (2000)
MODELING THE CHOICE OF RESIDENTIAL LOCATION
Transportation Research Record (1978)
Large sample estimation and hypothesis testing
Whitney Newey;Daniel McFadden.
Research Papers in Economics (1986)
Econometric Models of Probabilistic Choice
Structural Analysis of Discrete Data with Econometric Applications (1981)
Specification tests for the multinomial logit model
Jerry A. Hausman;Daniel McFadden.
URBAN TRAVEL DEMAND - A BEHAVIORAL ANALYSIS
T A Domencich;D McFadden.
Canadian Journal of Economics (1977)
THE MEASUREMENT OF URBAN TRAVEL DEMAND
Journal of Public Economics (1974)
A METHOD OF SIMULATED MOMENTS FOR ESTIMATION OF DISCRETE RESPONSE MODELS WITHOUT NUMERICAL INTEGRATION
An Econometric Analysis of Residential Electric Appliance Holdings and Consumption
Jeffrey A. Dubin;Daniel L. McFadden.
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