Evaluating the Effect of Self-selected Treatment on Drug Addiction

نویسندگان

  • Michael Beenstock
  • Yoel Haitovsky
چکیده

We test the hypothesis that the treatment of drug addicts reduces consumption of hard drugs by comparing the change in drug consumption of treated addicts before and after treatment with the change in drug consumption with demographically similar untreated addicts. If treated drug addicts are positively self-selected, naïve treatment evaluations that ignore self-selectivity into treatment will be over-optimistic on the benefits of treatment. Therefore, naïve evaluations that find "evidence" of a treatment effect are not informative. However, naïve evaluations that find no evidence of a treatment effect are informative because they are inconsistent with the hypothesis that treatment is beneficial. We refer to this as the “partial corroboration” methodology. We apply the partial corroboration methodology using a large longitudinal sample of treated and untreated addicts in Israel. Our main result is that the change in drug use frequency among the treated addicts is not significantly different from the change among their untreated counterparts. This naïve evaluation is inconsistent with the hypothesis that treatment reduces the drug consumption of addicts. We suggest that social security benefit for drug addicts should be regarded as an invalid benefit and not be made conditional on receiving treatment.

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تاریخ انتشار 2008