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! ]

Cue-Triggered Addiction and Natural Recovery

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Chiara MOcenni ()
Giuseppe Montefrancesco ()
Silvia Tiezzi ()
Abstract

In this paper we propose a model of natural recovery, a widespread yet unexplained aspect of addictive behavior, starting from the recent theory developed by Bernheim and Rangel (2004). While the Bernheim and Rangel model generates many distinctive patterns of addiction, it does not explicitly consider pathways to natural recovery. Based on insights from neurosciences, we introduce an ”implicit cognitive appraisal” process depending on past experiences as well as on future expected consequences of addictive consumption. Such function affects the individual in two ways: it erodes the payoff from use as the decision maker grows older and it increases the cognitive control competing with the hedonic impulses to use, thus reducing the probability of making mistakes. While we do recognize the importance of allowing for cue-triggered mistakes in individual decision making, our model recovers an important role for cognitive processes, such as subjective cost-benefit evaluations, in explaining natural recovery.

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 file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.econ-pol.unisi.it/quaderni/505.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number 505.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: Jun 2007
Date of revision:
Handle: RePEc:usi:wpaper:505

Contact details of provider:
Postal: Piazza S.Francesco,7 - 53100 Siena
Phone: (39)(0577)298645
Fax: (39)(0577)298661
Email:
Web page: http://www.econ-pol.unisi.it/
More information through EDIRC

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

Related research
Keywords: Addiction models natural recovery behavioral economics cognitive policy neuroscience.

Find related papers by JEL classification:
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
I12 - Health, Education, and Welfare - - Health - - - Health Production

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? Authors registered on the RePEc Author Service receive monthly emails with details about downloads and abstract views of their works.

This page was last updated on 2008-7-24.


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.