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- W9877957 abstract "This chapter presents some of the results on semi- and nonparametric estimation of quantal response models. It concentrates on methods for binary response models—that is, models in which the dependent variable has only two states, such as employed or unemployed. Semi- and nonparametric methods for binary response models are more highly developed than are such methods for models with multiple responses, and to date binary response is the only setting in which semi- or nonparametric methods have been applied. The chapter reviews parametric models, identifies the assumptions of these models that semi- and nonparametric methods relax, and explains the distinction between semi- and nonparametric methods. The consequences of adopting a misspecified parametric model are discussed as they are important because semi- and nonparametric methods are not needed if the errors resulting from use of a misspecified parametric model are small. The chapter discusses the problem of identifying behavioral parameters when parametric assumptions are relaxed, the rates of convergence and asymptotic efficiency in semiparametric models, the methods for semi- and nonparametric estimation of binary response models, the estimation from choice-based samples, the few applications of semiparametric estimators for binary response models, and models for multinomial responses." @default.
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- W9877957 date "1993-01-01" @default.
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- W9877957 title "2 Semiparametric and nonparametric estimation of quantal response models" @default.
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- W9877957 doi "https://doi.org/10.1016/s0169-7161(05)80037-9" @default.
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