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Opioid Misuse Among Adolescents: New Evidence from a Misclassification Analysis

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  • Sean Murphy
  • Daniel Friesner
  • Robert Rosenman

Abstract

The finding that a self-reported survey failed to identify over one-third of individuals at risk for NMPO use is concerning, as is the finding that approximately 17 % of those who admitted to NMPO use may have misstated their prescription-opioid source. The findings presented here are critical to focus prevention efforts, especially for identifying at-risk youths who may misrepresent their use. Copyright Springer International Publishing Switzerland 2015

Suggested Citation

  • Sean Murphy & Daniel Friesner & Robert Rosenman, 2015. "Opioid Misuse Among Adolescents: New Evidence from a Misclassification Analysis," Applied Health Economics and Health Policy, Springer, vol. 13(2), pages 181-192, April.
    • Handle: RePEc:spr:aphecp:v:13:y:2015:i:2:p:181-192
    DOI: 10.1007/s40258-015-0151-z
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    References listed on IDEAS

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    1. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
    2. Vidhura Tennekoon & Robert Rosenman, 2013. "Bias in Measuring Smoking Behavior," Working Papers 2013-10, School of Economic Sciences, Washington State University.
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    Cited by:

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    2. Tennekoon, Vidhura S., 2016. "The equivalence of three latent class models and ML estimators," Economics Letters, Elsevier, vol. 141(C), pages 147-150.
    3. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.

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