EconPapers    
Economics at your fingertips  
 

An Improved Two-stage Stratified Randomized Response Model for Estimating Sensitive Proportion

Zawar Hussain, Salman Arif Cheema and Ishtiaq Hussain

Sociological Methods & Research, 2022, vol. 51, issue 3, 1413-1441

Abstract: This article is about making correction in Tarray, Singh, and Zaizai model and further improving it when stratified random sampling is necessary. This is done by using optional randomized response technique in stratified sampling using a combination of Mangat and Singh, Mangat, and Greenberg et al. models. The suggested model has been studied assuming proportional and Neyman allocation schemes. Numerical results show larger gains in efficiency. Through a detailed numerical study, it is established that the suggested model is relatively more efficient than the Kim and Warde model and the models mentioned above.

Keywords: randomized response technique; estimation of proportion; stratified random sampling; sensitive attribute; bias; mean squared error (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124119875963 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:51:y:2022:i:3:p:1413-1441

DOI: 10.1177/0049124119875963

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:somere:v:51:y:2022:i:3:p:1413-1441