Adjusting imperfect data
Subtitle: overview and case studies
By: Lars Vilhuber.
Contributors: Vilhuber, Lars.; National Bureau of Economic Research.
Series: NBER working paper series -- working paper 12977; Working paper series (National Bureau of Economic Research : Online) -- working paper no. 12977.
Publisher: National Bureau of Economic Research
Published: 2007
Place of publication: Cambridge, MA
Language: eng
Format: Electronic resource
Description: "Research users of large administrative have to adjust their data for quirks, problems, and issues that are inevitable when working with these kinds of datasets.  Not all solutions to these problems are identical, and how they differ may affect how the data is to be interpreted.  Some elements of the data, such as the unit of observation, remain fundamentally different, and it is important to keep that in mind when comparing data across countries.  In this paper (written for Lazear and Shaw, 2007), we focus on the differences in the underlying data for a selection of country datasets.  We describe two data elements that remain fundamentally different across countries -- the sampling or data collection methodology, and the basic unit of analysis (establishment or firm) -- and the extent to which they differ.  We then proceed to document some of the problems that affect longitudinally linked administrative data in general, and we describe some of the solutions analysts and statistical agencies have implemented, and explore, through a select set of case studies, how each adjustment or absence thereof might affect the data"--National Bureau of Economic Research web site.
Notes: Title from PDF file as viewed on 5/25/2007.

Includes bibliographical references.

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Mode of access: World Wide Web.