Testing Competing Models for Non-Negative Data with Many Zeros

Joao Santos Silva, Silvana Tenreyro, Frank Windmeijer

Research output: Contribution to journalArticle (Academic Journal)peer-review

106 Downloads (Pure)

Abstract

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 (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.
Original languageEnglish
Pages (from-to)29-46
Number of pages18
JournalJournal of Econometric Methods
Volume4
Issue number1
Early online date29 Mar 2014
DOIs
Publication statusPublished - Jan 2015

Fingerprint

Dive into the research topics of 'Testing Competing Models for Non-Negative Data with Many Zeros'. Together they form a unique fingerprint.

Cite this