| Abstract | Selection bias is an ongoing concern in large-scale panel surveys, such as the US Health and Retirement Study, where the cumulative effects of unit nonresponse increase at each subsequent wave of data collection. Another source of selection bias in panel studies is the inability to link respondents to target administrative databases, either because respondents do not provide consent to link or the matching algorithm fails to locate their administrative record. Both sources of selection bias can adversely affect the validity of conclusions drawn from these data sources. In this article, I discuss recently proposed methods for reducing both sources of selection bias in panel studies, with a special emphasis on reducing selection bias in the US Health and Retirement Study.
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