Arbeitspapier
Randomized Response and the Binary Probit Model
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: IAW Diskussionspapiere ; No. 10
- Klassifikation
-
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
- Thema
-
Asymptotic Efficiency
Maximum Likelihood
Post Randomisation
Statistical Disclosure.
Stichprobenverfahren
Theorie
Probit-Modell
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Ronning, Gerd
- Ereignis
-
Veröffentlichung
- (wer)
-
Institut für Angewandte Wirtschaftsforschung (IAW)
- (wo)
-
Tübingen
- (wann)
-
2003
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Ronning, Gerd
- Institut für Angewandte Wirtschaftsforschung (IAW)
Entstanden
- 2003