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Interesting Experiment

I recently read an article about a very interesting experiment. Luiten and Schouten report on an experiment to improve the Statistics Netherlands' Survey of Consumer Sentiment. Their task was to improve representativity (defined as increasing the R-Indicator) of the survey without increasing costs and without lowering the response rate. This sounds like a difficult task. We can debate the merits of lowering response rates in "exchange" for improved representativity. But who can argue with increasing representativity without major increases in costs or decreases in response rates.

The experiment has a number of features all built with the goal of meeting these constraints. One of the things that makes their paper so interesting is that each of the design features is "tailored" to the specifics of the sampled units. For those of you who like the suspense of a good survey experiment, spoiler alert: they managed to meet their objectives.

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