Estimation of Discrete Choice Models Using DCM for Ox
نویسندگان
چکیده
DCM (Discrete Choice Models) is a package for estimating a class of discrete choice models. DCM is a class written in Ox, that implements a wide range of discrete choice models including standard binary response models, with notable extensions including conditional mixed logit, mixed probit, multinomial probit, and random coefficient ordered choice models. The current version can handle both cross-section and static panel data. Although the overall functionality of Ox has been extended through the availability of a growing number of Ox Packages, such as the dynamic panel data (DPD) package and the G@RCH package dedicated to the estimation of the many variants of ARCH, the existing functionality in the realm of discrete choice and limited dependent variable models is limited. DCM represents an important development for the OxMetric computing environment in making available a broad range of models which are now widely used by academics and practitioners working in the field of discrete choice. Developed as a derived class of Modelbase, users may access the functions within DCM by either writing Ox programs which create and use an object of the DCM class, or use the program in an interactive fashion. We demonstrate the capabilities of DCM by using a number of applications from both the revealed and stated preference literature. JEL Classification: C20; C25; C87; D00.
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Discrete Choice Models (DCM): An Object-Oriented Package for Ox
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