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Journal of Econometrics
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Research Papers in Economics
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Research Papers in Economics
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Misclassification in Binary Choice Models

Misclassification in binary choice models
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Preprint 01 Jan 2013 English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068, Copyright policy )
Authors: Bruce Meyer; Nikolas Mittag;

doi: 10.2139/ssrn.2269315 , 10.1016/j.jeconom.2017.06.012

Misclassification in Binary Choice Models

Abstract

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Keywords

Linear regression; mixed models, parametric models, program take-up, food stamps, binary choice models, asymptotic bias, measurement error; binary choice models; program take-up; food stamps., Applications of statistics to economics, measurement error, jel: jel:C81, jel: jel:D31, jel: jel:C25, jel: jel:H53, jel: jel:C18, jel: jel:I38

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 70
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
70
Top 1%
Top 10%
Top 10%
hybrid