This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Climbing the Drug Staircase: A Bayesian Analysis of the Initiation of Hard Drug Use

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Bretteville-Jensen, Anne Line () (Norwegian Institute for Alcohol and Drug Research (SIRUS))
Jacobi, Liana () (University of Melbourne)
Abstract

Empirical studies have found that cannabis commonly precedes consumption of drugs like amphetamine, ecstasy, cocaine and heroin. As a result a causal linkage between cannabis and subsequent hard drug use has been hypothesized. Despite mixed empirical evidence and a limited understanding of possible transmission mechanisms, the causal gateway hypothesis has been influential in formulating a strict drug policy in many western countries. Individual differences in proneness and accessibility, however, provide alternative, non-causal explanations for the observed "staircase" pattern and yield potentially different policy implications. We propose a Bayesian estimation and predictive framework to analyze the effects and relative importance of previous cannabis use, proneness and accessibility factors on hard drug initiation and to explore potential policy implications, using data from a unique recent survey of young adults in Norway. Motivated by the gateway transmission channels proposed in the literature, our model allows for a constant and a heterogeneous effect of previous cannabis use on hard drug initiation and, also, a more flexible correlation pattern for the unobservables. We find that proneness, accessibility and previous cannabis use contribute to the observed higher drug use pattern among cannabis users. The latter has the largest effect and is driven by various transmission channels.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://ftp.iza.org/dp3879.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3879.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 41 pages
Date of creation: Dec 2008
Date of revision:
Handle: RePEc:iza:izadps:dp3879

Contact details of provider:
Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org

Order Information:
Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Email:

For technical questions regarding this item, or to correct its listing, contact: (Mark Fallak).

Related research
Keywords: accessibility; Bayesian prior-posterior analysis; Bayesian predictive analysis; cannabis gateway; cannabis use; hard drug use; Markov Chain Monte Carlo; policy; proneness;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
I19 - Health, Education, and Welfare - - Health - - - Other

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Anne Line Bretteville-Jensen & Hans Olav Melberg & Andrew M Jones, 2005. "Sequential patterns of drug use initiation – can we believe in the gateway theory?," Health, Econometrics and Data Group (HEDG) Working Papers 05/09, HEDG, c/o Department of Economics, University of York. [Downloadable!]
  2. Stephen Pudney, 2003. "The Road to Ruin? Sequences of Initiation to Drugs and Crime in Britain," Economic Journal, Royal Economic Society, vol. 113(486), pages C182-C198, March. [Downloadable!] (restricted)
  3. Hans Olav Melberg & Anne Line Bretteville-Jensen & Andrew M. Jones, 2007. "Is cannabis a gateway to hard drugs?," Health, Econometrics and Data Group (HEDG) Working Papers 07/01, HEDG, c/o Department of Economics, University of York. [Downloadable!]
  4. Anne Line Bretteville-Jensen & Erik Biørn, 2004. "Do prices count? A micro-econometric study of illicit drug consumption based on self-reported data," Empirical Economics, Springer, vol. 29(3), pages 673-695, 09. [Downloadable!] (restricted)
  5. van Ours, Jan C & Williams, Jenny, 2005. "Cannabis Prices and Dynamics of Cannabis Use," CEPR Discussion Papers 4991, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  6. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August. [Downloadable!] (restricted)
    Other versions:
  7. Beenstock, Michael & Rahav, Giora, 2002. "Testing Gateway Theory: do cigarette prices affect illicit drug use?," Journal of Health Economics, Elsevier, vol. 21(4), pages 679-698, July. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? About five million pdf files are downloaded through RePEc every year.

This page was last updated on 2009-11-30.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.