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- W2025705979 abstract "This paper gives a very complete and comprehensive account of the literature on benchmarking procedures for small area estimation. The paper reviews and empirically compares cross-sectional and time series benchmarked predictors and presents some interesting conclusions. The paper introduces a two-stage cross-sectional benchmarking of time series estimators and gives an illustrative example. The authors have made a major contribution to the literature of small area estimation on a topic that is far from being simple. They also have found the way of presenting results in a friendly and rigorously way. The paper starts by discussing the single-stage cross-sectional benchmarking under the frequentist approach. In that setup, let us consider a finite populationU partitioned in D domainsU1, . . . ,UD . For a variable y measured in all the units of the population, let Y = ∑ j∈U y j and Yd = ∑ j∈Ud y j be the totals for U and Ud respectively, so that" @default.
- W2025705979 created "2016-06-24" @default.
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- W2025705979 date "2014-10-21" @default.
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- W2025705979 title "Comments on: Single and two-stage cross-sectional and time series benchmarking procedures for small area estimation" @default.
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- W2025705979 doi "https://doi.org/10.1007/s11749-014-0384-4" @default.
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