Randomized response and the binary probit model
type: Item
instance of: scholarly article
title: Randomized response and the binary probit model
zbMATH Open document ID: 1255.62028
author: Gerd Ronning
published in: Economics Letters
publication date: 2013-01-02T00:00:00Z
full work available at URL: iaw dp 10.pdf
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 62J12
zbMATH DE Number: 6120823
zbMATH Keywords: asymptotic efficiency
zbMATH Keywords: maximum likelihood
zbMATH Keywords: misclassification
zbMATH Keywords: post randomization
zbMATH Keywords: statistical disclosure
MaRDI profile type: Publication
OpenAlex ID: W2034708769
cites work: Q4738642
cites work: Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables
cites work: Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
cites work: Misclassification of the dependent variable in a discrete-response setting
cites work: Model assisted survey sampling
cites work: Randomized Response, Statistical Disclosure Control and Misclassificatio: a Review
cites work: Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
DOI: 10.1016/J.ECONLET.2004.07.013
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description: scientific article; zbMATH DE number 6120823