Combining data from two independent surveys: a model-assisted approach

94 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Combining non‐probability and probability survey samples through mass imputation (2018, methodology): “Combining the up-to-date information from a non-probability sample and auxiliary information from a probability sample is an area of data integration, which is an emerging area of research in survey sampling (Lohr and Raghunathan, 2017). For data integration, a popular approach is to use an independ”
Empirical Likelihood Estimation Using Auxiliary Summary Information with Different Covariate Distributions (2019, background): “See also Kim and Rao (2012) in the context of survey sampling.”