Search Results - subject:"randomized response"

Measuring and explaining tax evasion: Improving self-reports using the crosswise model

Korndörfer, Martin; Krumpal, Ivar; Schmukle, Stefan C. - In: Journal of Economic Psychology 45 (2014) C, pp. 18-32

(CM). The CM is conceptually based on the randomized response technique (RRT), but due to its advanced design, it is …

Persistent link: https://www.econbiz.de/10011117231

A stratified Mangat and Singh’s optional randomized response model using proportional and optimal allocation

Singh, Housila P.; Tarray, Tanveer A. - In: Statistica 74 (2014) 1, pp. 61-79

This paper suggests a stratified optional randomized response model based on Mangat and Singh (1994) model that has … efficient than Kim and Warde (2004) stratified randomized response model and Mangat and Singh (1994) model. Graphical …

Persistent link: https://www.econbiz.de/10011124507

A dexterous randomized response model for estimating a rare sensitive attribute using Poisson distribution

Singh, Housila P.; Tarray, Tanveer A. - In: Statistics & Probability Letters 90 (2014) C, pp. 42-45

Taking the clue from the pioneer work of Land et al. (2011), we have suggested an unbiased estimator of the mean number of persons possessing the rare sensitive attribute in presence of the known proportion of persons possessing a rare unrelated attribute. The variance expression is derived. The...

Persistent link: https://www.econbiz.de/10010776539

A new privacy-protecting survey design for multichotomous sensitive variables

Groenitz, Heiko - In: Metrika 77 (2014) 2, pp. 211-224

In this paper, we propose the diagonal model (DM), a survey technique for multicategorical sensitive variables. The DM is a nonrandomized response method; that is, the DM avoids the use of any randomization device. Thus, both survey complexity and study costs are reduced. The DM does not require...

Persistent link: https://www.econbiz.de/10010896471

Sample size determination for estimating prevalence and a difference between two prevalences of sensitive attributes using the non-randomized triangular design

Qiu, Shi-Fang; Zou, G.Y.; Tang, Man-Lai - In: Computational Statistics & Data Analysis 77 (2014) C, pp. 157-169

A non-randomized triangular design has been shown to be more efficient than the conventional random response model in estimating the prevalence of sensitive attributes in surveys. Since most surveys focus on estimation, herein we derive sample size formulas for estimation of prevalence and a...

Persistent link: https://www.econbiz.de/10010871374

Measuring and explaining tax evasion : improving self-reports using the crosswise model

Korndörfer, Martin; Krumpal, Ivar; Schmukle, Stefan … - In: Journal of economic psychology : research in economic … 45 (2014), pp. 18-32

Persistent link: https://www.econbiz.de/10010474551

Asking Sensitive Questions

Wolter, Felix; Preisendörfer, Peter - In: Sociological Methods & Research 42 (2013) 3, pp. 321-353

This article is an empirical contribution to the evaluation of the randomized response technique (RRT), a prominent …

Persistent link: https://www.econbiz.de/10011136704

An alternative to Kim and Warde’s mixed randomized response technique

Singh, Housila P.; Tarray, Tanveer A. - In: Statistica 73 (2013) 3, pp. 379-402

The paper proposes two mixed randomized response techniques as an alternative to the Kim and Warde’s (2005) randomized … response technique. The properties of the models have been studied and found that the proposed mixed randomized response models … are better than the Kim and Warde’s (2005) mixed randomized response models in some realistic situations. We extend the …

Persistent link: https://www.econbiz.de/10010812467

A variant of the parallel model for sample surveys with sensitive characteristics

Liu, Yin; Tian, Guo-Liang - In: Computational Statistics & Data Analysis 67 (2013) C, pp. 115-135

A new non-randomized response (NRR) model (called a variant of the parallel model) is proposed. The survey design and …

Persistent link: https://www.econbiz.de/10010871419

Design-based distribution function estimation for stigmatized populations

Barabesi, Lucio; Diana, Giancarlo; Perri, Pier - In: Metrika 76 (2013) 7, pp. 919-935

data are collected by randomized response techniques. We show in close detail the procedure for estimating the distribution … bearing a stigmatizing attribute and the distribution function for the members belonging to the hidden group. The randomized … response devices by Greenberg et al. (J Am Stat Assoc 66:243–250, <CitationRef CitationID="CR21">1971</CitationRef>), Franklin …

Persistent link: https://www.econbiz.de/10010995097