Logistic regression analyses for indirect data

Heiko Groenitz

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 16, 3838-3856

Abstract: The article’s topic is logistic regression for direct data on the covariates, but indirect data on the endogenous variable. The indirect data may result from a privacy-protecting survey procedure for sensitive characteristics or from statistical disclosure control. Various procedures to generate the indirect data exist. However, we show that it is possible to develop a general approach for logistic regression analyses with indirect data that covers many procedures. We first derive a general algorithm for the maximum likelihood estimation and a general procedure for variance estimation. Subsequently, lots of examples demonstrate the broad applicability of our general framework.

Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/03610926.2017.1364387

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