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A Heap of Trouble? Accounting for Mismatch Bias in Retrospectively Collected Data on Smoking

  • Bar, H;
  • Lillard, D;
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    When event data are retrospectively reported, more temporally distal events tend to get “heaped” on even multiples of reporting units. Heaping may introduce a type of attenuation bias because it causes researchers to mismatch time-varying right-hand side variables. We develop a model-based approach to estimate the extent of heaping in the data, and how it affects regression parameter estimates. We use smoking cessation data as a motivating example to describe our approach, but the method more generally facilitates the use of retrospective data from the multitude of cross-sectional and longitudinal studies worldwide that already have and potentially could collect event data.

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    Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 10/20.

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    Date of creation: Jul 2010
    Date of revision:
    Handle: RePEc:yor:hectdg:10/20
    Contact details of provider: Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
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    Fax: (0)1904 323759
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    1. Julio Del Corral & Carlos Pestana Barros & Juan Prieto-Rodríguez, 2008. "The Determinants of Soccer Player Substitutions," Journal of Sports Economics, , vol. 9(2), pages 160-172, April.
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