The Effect of Maternal Drug Use on Birth Weight: Measurement Error in Binary Variables
This paper develops a method to correct for non-random measurement error in a binary indicator of illicit drugs. Our results suggest that estimates of the effect of self reported prenatal drug use on birth weight are biased upwards by measurement error -- a finding contrary to predictions of a model of random measurement error. We show that more accurate estimates of the true effect of drug use on birth weight can be obtained by using the predicted probability of falsely reporting drug use. This suggests that out-of-sample information on drug use may improve estimates of the effect of reported drug use in other settings.
|Date of creation:||Jan 1996|
|Date of revision:|
|Publication status:||published as Economic Inquiry, Vol. 34, no. 4, (October 1996), pp. 617-629.|
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2746, National Bureau of Economic Research, Inc.
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Journal of Human Resources,
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- Theodore Joyce, 1990. "Self-Selection, Prenatal Care, and Birthweight Among Blacks, Whites and Hispanics in New York City," NBER Working Papers 3549, National Bureau of Economic Research, Inc.
- Aigner, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," Journal of Econometrics, Elsevier, vol. 1(1), pages 49-59, March.
- Theodore Joyce & Andrew D. Racine & Naci Mocan, 1992. "The Consequences and Costs of Maternal Substance Abuse in New York City," NBER Working Papers 3987, National Bureau of Economic Research, Inc.
- Brownstone, David, 1991. "Multiple Imputations for LInear Regression Models," University of California Transportation Center, Working Papers qt6rv6n3sd, University of California Transportation Center.
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