Coding Geographic Areas Across Census Years: Creating Consistent Definitions of Metropolitan Areas

44 Pages Posted: 20 Apr 1999 Last revised: 11 Oct 2010

See all articles by David A. Jaeger

David A. Jaeger

Ph.D. Program in Economics, City University of New York Graduate Center; National Bureau of Economic Research (NBER); University of Cologne - Department of Economics; IZA Institute of Labor Economics; CESifo (Center for Economic Studies and Ifo Institute); University College London - CReAM - Centre for Research and Analysis of Migration

Sarah E. Turner

University of Virginia; National Bureau of Economic Research (NBER)

Susanna Loeb

Stanford University; National Bureau of Economic Research (NBER)

John Bound

University of Michigan; National Bureau of Economic Research (NBER)

Date Written: October 1998

Abstract

This paper presents suggested matches for the geographical coding (geocoding) of metropolitan areas in the 1970, 1980, and 1990 Censuses. The Census Bureau used different definitions and taxonomies to describe the geography of metropolitan areas in these three Census years. As a result, the geographical areas referred to by the standard Census Bureau definitions differ among the three Census data sets. The geographic matching scheme explained in this paper attempts to maximize consistency over time for metropolitan areas in the U.S.

Note: This abstract appeared in a previous Labor Markets issue with an incorrect author's name. This is the correct version of the abstract and author information.

Suggested Citation

Jaeger, David A. and Turner, Sarah E. and Loeb, Susanna and Bound, John, Coding Geographic Areas Across Census Years: Creating Consistent Definitions of Metropolitan Areas (October 1998). NBER Working Paper No. w6772. Available at SSRN: https://ssrn.com/abstract=138576

David A. Jaeger (Contact Author)

Ph.D. Program in Economics, City University of New York Graduate Center ( email )

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Sarah E. Turner

University of Virginia ( email )

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Susanna Loeb

Stanford University ( email )

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John Bound

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