Description Usage Format References See Also Examples
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).
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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
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.
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