Discrete Choice Models

被引：0

作者：

Pecakova, Iva ^{[1
]}

Vojacek, Ondrej ^{[2
]}

机构：

[1] Univ Econ Prague, Dept Stat & Probabil, Prague, Czech Republic

[2] Univ Econ Prague, Dept Environm Econ, Prague, Czech Republic

来源：

APPLICATIONS OF MATHEMATICS AND STATISTICS IN ECONOMY: AMSE 2009 | 2009年

关键词：

Models for categorical dependent variables; statistical systems for discrete choice models (DCM) estimation;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

An important application of the models for categorical dependent variables - discrete choice models - can predict a decision made by an individual and based on the utility or relative attractiveness of competing alternatives as a function of any number of variables. These models are recently wide-spread in various applications areas (transport systems, energetic, environmental studies, medicine, voting behavior etc). The paper summarizes multinomial logit model, nested logit model, probit model and random parameters logit model, and also statistical systems applicable for their estimation.

引用

页码：351 / 359

页数：9

共 50 条

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