A measurement error model approach to survey data integration: Combining information from two surveys
Combining information from two surveys is a challenge in survey sampling, particularly when there are overlapping geographies. In such cases, dual frame estimation methods are employed to derive overall estimates while avoiding double contributions coming from the overlap area. In this paper, measurement error models were layered onto the dual frame approach, to appropriately account for potential measurement errors. The approach can be generalized to combine more than two sources of information.