MISCLASSIFICATION IN BINARY CHOICE MODELS
Bruce Meyer and
Nikolas Mittag ()
Working Papers from U.S. Census Bureau, Center for Economic Studies
We derive the asymptotic bias from misclassification of the dependent variable in binary choice models. Measurement error is necessarily non-classical in this case, which leads to bias in linear and non-linear models even if only the dependent variable is mismeasured. A Monte Carlo study and an application to food stamp receipt show that the bias formulas are useful to analyze the sensitivity of substantive conclusions, to interpret biased coefficients and imply features of the estimates that are robust to misclassification. Using administrative records linked to survey data as validation data, we examine estimators that are consistent under misclassification. They can improve estimates if their assumptions hold, but can aggravate the problem if the assumptions are invalid. The estimators differ in their robustness to such violations, which can be improved by incorporating additional information. We propose tests for the presence and nature of misclassification that can help to choose an estimator.
Keywords: measurement error; binary choice models; program take-up; food stamps. (search for similar items in EconPapers)
JEL-codes: C18 C81 D31 I38 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm and nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10) Track citations by RSS feed
Downloads: (external link)
https://www2.census.gov/ces/wp/2013/CES-WP-13-27.pdf First version, 2013 (application/pdf)
Working Paper: Misclassification in Binary Choice Models (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:13-27
Access Statistics for this paper
More papers in Working Papers from U.S. Census Bureau, Center for Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Dawn Anderson ().