Randomized Response and the Binary Probit Model

Arbeitspapier

The paper analyzes effects of randomized response with respect to some binary dependent variable on the estimation of the probit model. This approach is used in interviews when asking sensitive questions. Alternatively randomization can be considered as a means of statistical disclosure control which has been termed post randomization method (PRAM). The paper shows that all properties concerning parameter estimation are maintained although there is a loss in (asymptotic) efficiency.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IAW Diskussionspapiere ; No. 10

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions ; Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities ; Classification Discontinued 2008. See C83. ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
• Subject: Asymptotic Efficiency ; Maximum Likelihood ; Post Randomisation ; Statistical Disclosure. ; Stichprobenverfahren ; Theorie ; Probit-Modell

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Ronning, Gerd
• Event: Veröffentlichung
• (who): Institut für Angewandte Wirtschaftsforschung (IAW)
• (where): Tübingen
• (when): 2003

Further information

• Handle: http://hdl.handle.net/10419/83176
• Last update: 10.03.2025, 11:43 AM CET