Access Methods for United States Microdata

34 Pages Posted: 18 Sep 2007

See all articles by Daniel H. Weinberg

Daniel H. Weinberg

DHW Consulting

John M. Abowd

U.S. Census Bureau; Cornell University Department of Economics; Labor Dynamics Institute; School of Industrial and Labor Relations; NBER (on leave); CREST; IZA Institute of Labor Economics

Philip M. Steel

U.S. Census Bureau

Laura Zayatz

U.S. Census Bureau

Sandra K. Rowland

U.S. Census Bureau

Date Written: August 1, 2007

Abstract

Beyond the traditional methods of tabulations and public-use microdata samples, statistical agencies have developed four key alternatives for providing non-government researchers with access to confidential microdata to improve statistical modeling. The first, licensing, allows qualified researchers access to confidential microdata at their own facilities, provided certain security requirements are met. The second, statistical data enclaves, offer qualified researchers restricted access to confidential economic and demographic data at specific agency-controlled locations. Third, statistical agencies can offer remote access, through a computer interface, to the confidential data under automated or manual controls. Fourth, synthetic data developed from the original data but retaining the correlations in the original data have the potential for allowing a wide range of analyses.

Suggested Citation

Weinberg, Daniel H. and Abowd, John Maron and Steel, Philip M. and Zayatz, Laura and Rowland, Sandra K., Access Methods for United States Microdata (August 1, 2007). US Census Bureau Center for Economic Studies Paper No. CES-WP-07-25. Available at SSRN: https://ssrn.com/abstract=1015374 or http://dx.doi.org/10.2139/ssrn.1015374

Daniel H. Weinberg (Contact Author)

DHW Consulting ( email )

No Address Available

John Maron Abowd

U.S. Census Bureau ( email )

4600 Silver Hill Road
Washington, DC 20233
United States
+1.301.763.5880 (Phone)

Cornell University Department of Economics ( email )

261 Ives Hall
Ithaca, NY 14853-3901
United States

HOME PAGE: http://www.economics.cornell.edu

Labor Dynamics Institute ( email )

Ithaca, NY 14853-3901
United States

HOME PAGE: http://www.ilr.cornell.edu/LDI/

School of Industrial and Labor Relations ( email )

Ithaca, NY 14853-3901
United States

HOME PAGE: http://www.ilr.cornell.edu/LDI/

NBER (on leave) ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

CREST ( email )

92245 Malakoff Cedex
France

HOME PAGE: http://www.crest.fr/

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Philip M. Steel

U.S. Census Bureau ( email )

4600 Silver Hill Road
Washington, DC 20233
United States

Laura Zayatz

U.S. Census Bureau ( email )

4700 Silver Hill Road
Washington, DC 20233
United States

Sandra K. Rowland

U.S. Census Bureau ( email )

4600 Silver Hill Road
Washington, DC 20233
United States

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