Advanced Search

On the complexity of traffic judges' decisions

Contents:

Author Info

  • David Leiser
  • Dov-Ron Schatzberg

Abstract

Professional judges in traffic courts sentence many hundreds of offenders per year. Using 639 case files from archives, we compared the Matching Heuristic (MH) to compensatory, weighing algorithms (WM). We modeled and cross validated the models on different subsets of the data, and took several other methodological precautions such as allowing each model to select the optimal number of variables and ordering and weighing the variables in accordance to different logics. We did not reproduce the finding by Dhami (2003), who found the MH to be superior to a compensatory algorithm in modeling bail-granting decisions. These simulations brought out the inner logic of the two family of models, showing what combination of parameters works best. It remains remarkable that using only a fraction of the variables and combining them non-compensatorily, MH obtained nearly as good a fit as the weighing method.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. 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://journal.sjdm.org/06154/jdm06154.pdf
Download Restriction: no
File URL: http://journal.sjdm.org/06154/jdm06154.html
Download Restriction: no

Bibliographic Info

Article provided by Society for Judgment and Decision Making in its journal Judgment and Decision Making.

Volume (Year): 3 (2008)
Issue (Month): 8 (December)
Pages: 667-678
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:jdm:journl:v:3:y:2008:i:8:p:667-678

Contact details of provider:

For corrections or technical questions regarding this item, or to correct its listing, contact: (Jonathan Baron).

Related research

Keywords: bounded rationality; judgments; frugal; take-the-best; decision-making; simple heuristics; models; matching heuristic.;

References

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. Robin Hogarth & Natalia Karelaia, 2004. "Simple models for multi-attribute choice with many alternatives: When it does and does not pay to face tradeoffs with binary attributes," Economics Working Papers 739, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2005.
  2. Robin Hogarth & Natalia Karelaia, 2004. "Ignoring information in binary choice with continuous variables: When is less 'more'?," Economics Working Papers 742, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2004.
  3. Weenig, Mieneke W. H. & Maarleveld, Marleen, 2002. "The impact of time constraint on information search strategies in complex choice tasks," Journal of Economic Psychology, Elsevier, vol. 23(6), pages 689-702, December.
  4. Robin Hogarth & Natalia Karelaia, 2006. "On heuristic and linear models of judgment: Mapping the demand for knowledge," Economics Working Papers 974, Department of Economics and Business, Universitat Pompeu Fabra.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:jdm:journl:v:3:y:2008:i:8:p:667-678

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jonathan Baron).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.