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Controlling for Seam Problems in Duration Model Estimates: With Application to the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey

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  • Charles J. Romeo

Abstract

Inconsistencies in duration data at the "seams" between surveys make the problem of determining where one spell ends and the next begins impossible to resolve with certainty. In this paper I develop a statistical approach to partitioning data records with inconsistent duration data. The basis of this paper is a set of definitions as to what establishes consistent reporting at each seam. These definitions are derived from the questionnaire, and they enable me to quantify duration data inconsistencies as errors. The errors are then employed to generate probabilities over data record partitions. A duration model that uses these probabilities to control for seam problems is estimated for both the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey.

Suggested Citation

  • Charles J. Romeo, 2001. "Controlling for Seam Problems in Duration Model Estimates: With Application to the Current Population Survey and the Computer Aided Telephone Interview/Computer Aided Personal Interview Overlap Survey," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 467-499.
  • Handle: RePEc:uwp:jhriss:v:36:y:2001:i:3:p:467-499
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    Cited by:

    1. John C. Ham & Xianghong Li & Lara Shore-Sheppard, 2009. "Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women," NBER Working Papers 15151, National Bureau of Economic Research, Inc.
    2. Luis Ayala & Carolina Navarro & Mercedes Sastre, 2011. "Cross-country income mobility comparisons under panel attrition: the relevance of weighting schemes," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3495-3521.

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