Adaptive survey designs that minimize nonresponse and measurement risk

Recently, survey literature has put forward responsive and adaptive survey designs as means to make efficient tradeoffs between survey quality and survey costs. The designs, however, restrict quality-cost assessments to nonresponse error, while in mixed-mode surveys the measurement or response error plays a dominant role. Furthermore, there is both theoretical and empirical evidence that the two types of error are correlated.In this paper, we investigate adaptive survey designs that minimize both errors simultaneously in the Labour Force Survey. The design features that are selected are self-reporting versus proxy reporting, and the number of contact attempts.