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The survey data linked to multiple data sources, such as administrative records and big data, are increasingly at the heart of evidence-based policy making across continents. We call the multiply linked data as "pandata" (Chun and Scheuren, 2011). This session presents papers that demonstrate how multiple sources of data linked together are instrumental to evidence-based policy making. In the vein of papers published in a Wiley book (Chun, Larsen, Durant, and Reiter, forthcoming 2019), "Administrative Records for Survey Methodology," this session will discuss linked administrative data papers that address the following topics of substantive applications or methodological research:

- Papers demonstrating the use of administrative records linked to survey data in developing or evaluating public policy. For example, how administrative data linked to survey data have informed the policy making process to bring about social and economic benefits that were not possible to research by relying on traditional survey data alone?

- Substantive census applications where administrative data are linked and transformed into information that is useful and relevant to policy making.

- Papers utilizing dynamic data visualization involving the data linked by multiple data sources to communicate the public policy issues.

- Papers involving experimental design, such as randomized controlled trials, to advance evidence-based policy making with case studies in economics, education, and public health.

- Recent methodological advancements in linking administrative data with survey data (one-to-one) or with multiple sources of data (one-to-many).

- Papers applying Bayesian approaches to using linked administrative data in order to produce information that is useful and relevant to key sectors of health, economy and education.