Measuring labor earnings inequality using public-use March Current Population Survey data : the value of including variances and cell means when imputing topcoded values / Richard V. Burkhauser, Shuaizhang Feng, Jeff Larrimore.
Material type: TextSeries: Working paper series (National Bureau of Economic Research) ; no. 14458.Publication details: Cambridge, Mass. : National Bureau of Economic Research, 2008Description: 38 p. : ill. ; 22 cmSubject(s): Income distribution -- United States -- MeasurementLOC classification: HB1 | .N38 no.14458Online resources: Click here to access online Summary: Using the Census Bureau's internal March Current Population Surveys (CPS) file, we construct and make available variances and cell means for all topcoded income values in the public-use version of these data. We then provide a procedure that allows researchers with access only to the public-use March CPS data to take advantage of this added information when imputing its topcoded income values. As an example of its value we show how our new procedure improves on existing imputation methods in the labor earnings inequality literature.Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Book | University of Macedonia Library Βιβλιοστάσιο Β (Stack Room B) | Research Papers | HB1.N38 no.14458 (Browse shelf (Opens below)) | 1 | Available | 0013119082 |
Includes bibliographical references (p. 13-14).
Using the Census Bureau's internal March Current Population Surveys (CPS) file, we construct and make available variances and cell means for all topcoded income values in the public-use version of these data. We then provide a procedure that allows researchers with access only to the public-use March CPS data to take advantage of this added information when imputing its topcoded income values. As an example of its value we show how our new procedure improves on existing imputation methods in the labor earnings inequality literature.
Electronic reproduction. Cambridge, Mass. : National Bureau of Economic Research. Mode of access: World Wide Web; may require Adobe Acrobat Reader.
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