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W. Kamakura (1982)
Book Review: Structural Analysis of Discrete Data with Econometric ApplicationsJournal of Marketing Research, 19
L. Thurstone (1994)
A law of comparative judgment.Psychological Review, 34
C. Manski (1975)
MAXIMUM SCORE ESTIMATION OF THE STOCHASTIC UTILITY MODEL OF CHOICEJournal of Econometrics, 3
J. Marschak (1959)
Binary Choice Constraints on Random Utility Indicators
T. Amemiya (1974)
Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated NormalEconometrica, 42
T. Amemiya (1973)
Regression Analysis when the Dependent Variable is Truncated NormalEconometrica, 41
S. Lerman, C. Manski (1981)
On the Use of Simulated Frequencies to Approximate Choice Probabilities
J. Tobin (1958)
Estimation of Relationships for Limited Dependent VariablesEconometrica, 26
J. Hausman, D. Wise (1978)
A CONDITIONAL PROBIT MODEL FOR QUALITATIVE CHOICE: DISCRETE DECISIONS RECOGNIZING INTERDEPENDENCE AND HETEROGENEOUS PREFERENCES'Econometrica, 46
S. Cosslett (1983)
DISTRIBUTION-FREE MAXIMUM LIKELIHOOD ESTIMATOR OF THE BINARY CHOICE MODEL1Econometrica, 51
C. Daganzo, F. Bouthelier, Y. Sheffi (1977)
Multinomial Probit and Qualitative Choice: A Computationally Efficient AlgorithmTransportation Science, 11
A. Tversky (1972)
Elimination by aspects: A theory of choice.Psychological Review, 79
V. Hajivassiliou (1991)
Simulation Estimation Methods for Limited Dependent Variable ModelsHandbook of Statistics, 11
J. Cornfield (1951)
A method of estimating comparative rates from clinical data; applications to cancer of the lung, breast, and cervix.Journal of the National Cancer Institute, 11 6
G. Maddala (1983)
Limited-dependent and qualitative variables in econometrics: Discriminant analysis
K. Lancaster (1966)
A New Approach to Consumer TheoryJournal of Political Economy, 74
C. Manski, S. Lerman (1977)
The Estimation of Choice Probabilities from Choice Based SamplesEconometrica, 45
J. Horowitz (1993)
2 Semiparametric and nonparametric estimation of quantal response modelsHandbook of Statistics, 11
J. Heckman (1977)
Dummy Endogenous Variables in a Simultaneous Equation System
J. Berkson (1944)
Application of the Logistic Function to Bio-AssayJournal of the American Statistical Association, 39
H. Theil (1971)
Principles of econometrics
Northwestern University, Evanston, IL 60208, USA cfmanski@northwestern.edu I. Introduction This article describes the contributions of Daniel McFadden to the econometric analysis of discrete choice. Section I overviews the main elements of McFadden's research on discrete choice analysis, and notes some of his other contributions to economics. Section II addresses the fundamental methodological breakthrough that McFadden made in ``Conditional Logit Analysis of Qualitative Choice Behavior'' [III, 1974].1 Section III discusses the subsequent development of discrete choice analysis into one of the foundations of modern econometrics. Section IV concludes. An Overview of McFadden's Contributions to Discrete Choice Analysis In 1968 Daniel McFadden circulated a working paper ``Revealed Preferences of a Government Bureaucracy,'' eventually published as McFadden [III, 1975a and III, 1976a]. In this empirical study of the decision-making of the California Highway Commission, McFadden introduced the set of methodological ideas that developed into the modern econometric analysis of discrete choice. In the early 1970s, he deepened and re®ned his ideas as he performed an in¯uential empirical study of household travel decisions, eventually published as Urban Travel Demand: A Behavioral Analysis by Domencich and McFadden [1975]. At the same time, he abstracted from particular empirical questions to consider in generality the
The Scandinavian Journal of Economics – Wiley
Published: Jun 1, 2001
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