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TitleFocused information criteria, model selection, and model averaging in a Tobit model with a nonzero threshold
Creator
Date Issued2012
Source PublicationJournal of Business and Economic Statistics
ISSN0735-0015
Volume30Issue:1Pages:132-142
AbstractClaeskens and Hjort (2003) have developed a focused information criterion (FIC) for model selection that selects different models based on different focused functions with those functions tailored to the parameters singled out for interest. Hjort and Claeskens (2003) also have presented model averaging as an alternative to model selection, and suggested a local misspecification framework for studying the limiting distributions and asymptotic risk properties of post-model selection and model average estimators in parametric models. Despite the burgeoning literature on Tobit models, little work has been done on model selection explicitly in the Tobit context. In this article we propose FICs for variable selection allowing for such measures as mean absolute deviation, mean squared error, and expected expected linear exponential errors in a type I Tobit model with an unknown threshold. We also develop a model average Tobit estimator using values of a smoothed version of the FIC as weights. We study the finite-sample performance of model selection and model average estimators resulting from various FICs via a Monte Carlo experiment, and demonstrate the possibility of using a model screening procedure before combining the models. Finally, we present an example from a well-known study on married women's working hours to illustrate the estimation methods discussed. This article has supplementary material online. © 2012 American Statistical Association.
KeywordBackward elimination Censored regression LINEX errors Local misspecification Mean absolute deviation Mean squared error Model screening Monte carlo
DOI10.1198/jbes.2011.10075
URLView source
Language英语English
Scopus ID2-s2.0-84863179989
Citation statistics
Cited Times:66[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7756
CollectionResearch outside affiliated institution
Corresponding AuthorZhang,Xinyu
Affiliation
1.Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China
2.Department of Management Sciences,City University of Hong Kong,Kowloon,Hong Kong
Recommended Citation
GB/T 7714
Zhang,Xinyu,Wan,Alan T.K.,Zhou,Sherry Z. Focused information criteria, model selection, and model averaging in a Tobit model with a nonzero threshold[J]. Journal of Business and Economic Statistics, 2012, 30(1): 132-142.
APA Zhang,Xinyu, Wan,Alan T.K., & Zhou,Sherry Z. (2012). Focused information criteria, model selection, and model averaging in a Tobit model with a nonzero threshold. Journal of Business and Economic Statistics, 30(1), 132-142.
MLA Zhang,Xinyu,et al."Focused information criteria, model selection, and model averaging in a Tobit model with a nonzero threshold". Journal of Business and Economic Statistics 30.1(2012): 132-142.
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