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Monte carlo evidence on the robustness of conditional moment tests in tobit and probit models 

Authors: Christopher L. Skeels a; Franics Vella b
Affiliations:   a Department of Statistics, Australina National University, A.C.T, Canberra, Australia
b Department of Economics, Rice University, Houston, TX, U.S.A.
DOI: 10.1080/07474939708800373
Publication Frequency: 6 issues per year
Published in: journal Econometric Reviews, Volume 16, Issue 1 1997 , pages 69 - 92
Formats available: PDF (English)
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Abstract

This paper numerically examines the size robustness of various conditional moment tests in misspecified tobit and probit models. The misspecifications considered include the incorrect exclusion of regressors, ignored heteroskedasticity and false distributional assumptions. An important feature of the experimental design is that it is based on an existing empirical study and is more realistic than many simulation studies. The tests are seen to have mixed performance depending on both the original null hypothesis being tested and type of misspecification encountered.
Keywords: and Phrases; probit models; tobit models; conditional moment tests; omitted variables; heteroskedasticity; non-normality
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