DianaPerri1Data

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 \(U=F(5,5)\).

datasets

Point and interval estimation of linear parameters with data
obtained from complex surveys (including stratified and clustered samples)
when randomization techniques are used. The randomized response technique
was developed to obtain estimates that are more valid when studying
sensitive topics. Estimators and variances for 14 randomized response
methods for qualitative variables and 7 randomized response methods for
quantitative variables are also implemented. In addition, some data sets
from surveys with these randomization methods are included in the package.

Beatriz Cobo Rodrguez

RRTCS

Randomized Response Techniques for Complex Surveys

DianaPerri1Data function

A data frame containing 150 observations from a population of \(N=417\).
The variables are:<ul>
<li>ID: Survey ID</li>
<li>z: The randomized response to the question: What quantity of your agricultural subsidy do you declare in your income tax return?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

DianaPerri1Data: Randomized Response Survey on defrauded taxes

Description

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Examples