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ISEG 2S | Testing non-nested models for non-negative data with many zeros

20 Mai das 11:30 às 11:31
Quelhas 6 | Floor 3 | Delta Room



João Santos Silva

University of Essex


Testing non-nested models for non-negative data with many zeros

Jointly with:

CEMAPRE Seminars


In economic applications it is often the case that the variate of interest is non-negative and its distribution has a mass-point at zero. Many regression strategies have been proposed to deal with data of this type but, although there has been a long debate in the literature on the appropriateness of different models, formal statistical tests to choose between the competing specifications are not often used in practice. We use the non-nested hypothesis testing framework of Davidson and MacKinnon (1981, "Several tests for model specification in the presence of alternative hypotheses," Econometrica, 49, 781-793) to develop a novel and simple regression-based specification test that can be used to discriminate between these models.

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This seminars series is organized by

Margarida Abreu


Raquel M. Gaspar

(FIN/MG) and

Isabel Proença



All speakers are available to meet faculty at ISEG during the afternoon after the talk. Slots are limited. To book your time with the speaker, contact one of the coordination team members.


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