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Identification of Expected Outcomes in a Data Error Mixing Model With Multiplicative Mean Independence

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Publication:5392684
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DOI10.1198/JBES.2009.07223zbMath1214.62010OpenAlexW2058658774MaRDI QIDQ5392684

Brent Kreider, John V. Pepper

Publication date: 13 April 2011

Published in: Journal of Business & Economic Statistics (Search for Journal in Brave)

Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1256&context=econ_las_workingpapers


zbMATH Keywords

measurement errorpartial identificationnonparametric boundscontaminated samplingcorrupt sampling


Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Nonparametric inference (62G99)


Related Items (3)

Misclassification in binary choice models ⋮ Counting rotten apples: student achievement and score manipulation in Italian elementary schools ⋮ The impact of the National School Lunch Program on child health: a nonparametric bounds analysis







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