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Reported Income in the NLSY: Consistency Checks and Methods for Cleaningthe Data

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  • Nancy Cole
  • Janet Currie

Abstract

The National Longitudinal Survey of Youth collects information about over 20 separate components of respondent income. These disaggregated income components provide many opportunities to verify the consistency of the data. This note outlines procedures we have used to identify and `clean' measurement error in the disaggregated income variables. After cleanin the income data at the disaggregated level, we reconstruct the measure of 'family income' and re-evaluate poverty status. While people may not agree with all of our methods, we hope that they will be of some use to other researchers. A second purpose of this note is to highlight the value of the disaggregated data, since without it, it would be impossible to improve on the reported totals. Finally, we hope that with the advent of computerized interviewing technology, checks on the internal consistency of the data of the kind that we propose may eventually be built into interviewing software, thereby improving the quality of the data collected.

Suggested Citation

  • Nancy Cole & Janet Currie, 1994. "Reported Income in the NLSY: Consistency Checks and Methods for Cleaningthe Data," NBER Technical Working Papers 0160, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberte:0160
    Note: LS
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    Cited by:

    1. Arnstein Aassve & Simon Burgess & Andrew Chesher & Carol Propper, 2002. "Transitions from home to marriage of young Americans," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 1-23.
    2. Matthew J. Neidell, 2000. "Early Parental Time Investments In Children's Human Capital Development: Effects Of Time In The First Year On Cognitive And Non-Cognitive Outcomes," UCLA Economics Working Papers 806, UCLA Department of Economics.
    3. Arnstein Aassve, 2000. "Economic resources and single motherhood: incidence and resolution of premarital childbearing among young American women," MPIDR Working Papers WP-2000-015, Max Planck Institute for Demographic Research, Rostock, Germany.

    More about this item

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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