Simulating the consequences of adaptive survey design in the HILDA Survey
Jul 26, 13:45
In recent years, the field of adaptive survey design has emerged as an important addition to the survey design literature. Much of the research that has been undertaken focuses on repeated cross-sectional surveys, yet it seems there is greater potential for adaptive survey design within longitudinal surveys as data on the respondent and their survey experience builds with each new wave. Whilst there has been some research into adaptive survey design approaches in longitudinal surveys, we add to this literature by considering longer-term impacts of modifications to fieldwork processes in the context of the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Survey is a longitudinal panel survey of Australian households which commenced in 2001 and for which the sample is re-interviewed on an annual basis. Each wave, the fieldwork is conducted over three phases, with all households being issued to field in the first phase, and the second and third phases devoted to re-issuing a portion of cases to field for further interview attempts. We use waves 9 to 16 of the HILDA data to simulate alternative follow-up strategies which target cases for further fieldwork depending on R-indicators and coefficients of variation of the longitudinal weights they would receive should no further fieldwork be undertaken. We focus on the extent to which these adjustments to fieldwork efforts impact on various longitudinal estimates of transitions relating to employment, relationships, health status and residential mobility. We also make assumptions around the impact of fieldwork curtailment on the future response behaviour of affected cases and examine the long-run implications of these adaptive survey design strategies.