Supplemental Materials for “ Statistical Analysis of List Experiments ”
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چکیده
where J (t, y) = {i : Ti = t, Yi = y} represents the set of respondents with Ti = t and Yi = y. However, this likelihood function is difficult to maximize because it consists of many mixture components. Thus, following Imai (2011), we develop an EM algorithm by treating Z∗ i,J+t as partially missing data for each t = 1, . . . ,K. This leads to the following complete-data likelihood function, Lcom(δ, φ;Y, T,X, {Z∗ J+t}t=1)
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تاریخ انتشار 2011