ChaudhuriChristofidesData

This data set contains observations from a randomized response survey conducted in a population of 417 individuals in a municipality to investigate the agricultural subsidies.
The sample is drawn by sampling with unequal probabilities (probability proportional to agricultural subsidies in the previous year).
The randomized response technique used is the Chaudhuri-Christofides model (Chaudhuri and Christofides, 2013) with scramble variables \(S_1=U(1,...,11)\) and \(S_2=U(1,...,11)\).

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

ChaudhuriChristofidesData function

A data frame containing 100 observations.
The variables are:<ul>
<li>ID: Survey ID</li>
<li>z: The randomized response to the question: What are your annual agricultural subsidies?</li>
<li>Pi: first-order inclusion probabilities</li>
</ul>

ChaudhuriChristofidesData: Randomized Response Survey on agricultural subsidies

Description

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Examples