%0 Journal Article %J Wiley StatsRef: Statistics Reference Online %D 0 %T Combining Estimates from Multiple Surveys %A Elliott, M. R. %A Raghunathan, T. E. %A Schenker, N. %K dual frame %K imputation %K missing data %K non-probability samples %K small-area estimation %K Weighting %X

Combining estimates from multiple surveys can be very useful, especially when the question of interest cannot be addressed well by a single, existing survey. In this paper, we provide a brief review of methodology for combining estimates, with a focus on dual frame, weighting-based, joint-modeling, missing-data, and small-area methods. Many such methods are useful in situations outside the realm of combining estimates from surveys, such as combining information from surveys with administrative data and combining probability-sample data with non-probability sample, or “big” data. We also provide examples of comparability issues that must be kept in mind when information from different sources is being combined.

%B Wiley StatsRef: Statistics Reference Online %G eng %U https://www.niss.org/sites/default/files/Elliott%2C%20Raghunathan%2C%20%26%20Schenker%20for%20Wiley%20StatsRef.pdf %1

https://www.niss.org/sites/default/files/Elliott%2C%20Raghunathan%2C%20%26%20Schenker%20for%20Wiley%20StatsRef.pdf