A Unified Approach to Measurement Error and Missing Data: Details and Extensions

Matthew Blackwell, James Honaker and Gary King

Working Paper from Harvard University OpenScholar

Abstract: We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model specifications and estimation procedures, and analyses to assess the approach?s robustness to correlated measurement errors and to errors in categorical variables. These results support using the technique to reduce bias and increase efficiency in a wide variety of empirical research.

New Economics Papers: this item is included in nep-ecm
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://gking.harvard.edu//node/161326

Related works:
Journal Article: A Unified Approach to Measurement Error and Missing Data: Details and Extensions (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:qsh:wpaper:161326

Access Statistics for this paper

More papers in Working Paper from Harvard University OpenScholar Contact information at EDIRC.
Bibliographic data for series maintained by Richard Brandon ( this e-mail address is bad, please contact ).