Affiliations: [a] Department of Economics, Stanford University, Stanford, CA 94305, USA | [b] Department of Economis, Robinson Hall, Brown University, Providence, RI 02912, USA | [c] Department of Economics, University of California-Berkeley, Berkeley, CA 94720, USA
Correspondence:
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Corresponding author: Danny Yagan, Department of Economics, University of California-Berkeley, Berkeley, CA 94720, USA. E-mail: [email protected].
Abstract: Full-population administrative tax data collected for program administration holds potential for facilitating statistical work that previously had been infeasible. This article describes a framework – the SOI databank – for that facilitation. The Databank is a statistical database that comprises income and tax information from income tax returns and several information returns, along with links to children and employers. The Databank structure and process described in this article may provide a useful model for other government agencies facing similar challenges and opportunities with administrative data.
