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John M. Abowd1, Ian M. Schmutte2, and Lars Vilhuber3

1U.S. Census Bureau and Cornell University, Suitland, MD, USA

2University of Georgia, Athens, GA, USA

3Department of Economics and Executive Director of Labor Dynamics Institute (LDI) at Cornell University, Ithaca, NY, USA

The use of administrative data has long been a part of the procedures at national statistical offices (NSOs), as evidenced in the various chapters in this book. The censuses and surveys conducted by NSOs may use sampling frames built at least partially from administrative data. For instance, the U.S. Census Bureau has used a business register – a list of all domestic businesses – derived from administrative tax filings since at least 1968. This register is the frame for its quinquennial censuses and annual surveys of business activity (DeSalvo, Limehouse, and Klimek 2016). It is also used to link businesses across surveys, to link surveyed businesses to other administrative record data, and as a direct source of statistical information on the levels and growth of business activity, published as the County Business Patterns (CBP) and Business Dynamics Statistics (BDS). 1 Similar examples can be found in most countries that maintain some kind of registry for their businesses. In many countries, similar centrally maintained registers are used as frames for censuses and surveys of a country’s inhabitants and workers. Chapter 17 illustrates the Swedish approach to this problem for a national population census. 2 The Institute for Employment Research (IAB), the research institute of the German Employment Agency, uses social security notifications filed by firms, and data generated from the administration of its mandated programs, to sample firms and workers. McMaster University and later Statistics Canada used administrative job termination notifications (“record of employment”) filed by employers to survey departing employees for the Canadian Out-of-Employment Panel (COEP) (Browning, Jones, and Kuhn 1995). Other uses of administrative data in NSOs include linkage for quality purposes ( Chapters 8, 14, and 15), and data augmentation ( Chapter 12for the National Center for Health Statistics [NCHS] approach).