D
Daniel McFadden
Researcher at University of California, Berkeley
Publications - 248
Citations - 63965
Daniel McFadden is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Medicare Part D & Estimator. The author has an hindex of 74, co-authored 243 publications receiving 60638 citations. Previous affiliations of Daniel McFadden include Cambridge Systematics & University of California.
Papers
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Journal ArticleDOI
Mixed mnl models for discrete response
Daniel McFadden,Kenneth Train +1 more
TL;DR: In this article, the adequacy of a mixing specification can be tested simply as an omitted variable test with appropriately definedartificial variables, and a practicalestimation of aarametricmixingfamily can be run by MaximumSimulated Likelihood EstimationorMethod ofSimulatedMoments, andeasilycomputedinstruments are provided that make the latter procedure fairly eAcient.
Journal Article
Modeling the choice of residential location
TL;DR: The problem of translating the theory of economic choice behavior into concrete models suitable for analyzing housing location and methods for controlling the size of data collection and estimation tasks by sampling alternatives from the full set of alternatives are discussed.
Book ChapterDOI
Chapter 36 Large sample estimation and hypothesis testing
Whitney K. Newey,Daniel McFadden +1 more
TL;DR: In this paper, conditions for obtaining cosistency and asymptotic normality of a very general class of estimators (extremum estimators) are given to enable approximation of the SDF.
Journal ArticleDOI
Specification tests for the multinomial logit model
Jerry A. Hausman,Daniel McFadden +1 more