DianaPerri1Data: Randomized Response Survey on defrauded taxes

In RRTCS: Randomized Response Techniques for Complex Surveys

Description

This data set contains observations from a randomized response survey conducted in a population of 417 individuals in a municipality to investigate defrauded taxes. The sample is drawn by simple random sampling without replacement. The randomized response technique used is the Diana and Perri 1 model (Diana and Perri, 2010) with parameters p=0.6, W=F(10,5) and U=F(5,5).

Usage

data(DianaPerri1Data)

Format

A data frame containing 150 observations from a population of N=417. The variables are:

• ID: Survey ID

• z: The randomized response to the question: What quantity of your agricultural subsidy do you declare in your income tax return?

• Pi: first-order inclusion probabilities

References

Diana, G., Perri, P.F. (2010). New scrambled response models for estimating the mean of a sensitive quantitative character. Journal of Applied Statistics 37 (11), 1875–1890.

See Also

DianaPerri1

Examples

data(DianaPerri1Data)

RRTCS documentation built on April 21, 2021, 9:06 a.m.