EconPapers    
Economics at your fingertips  
 

Using eye-tracking to model attribute non-attendance in choice experiments

Daniel Chavez (), Marco Palma () and Alba Collart

Applied Economics Letters, 2018, vol. 25, issue 19, 1355-1359

Abstract: We investigate revealed attribute attendance in discrete choice experiments using eye-tracking. A simple theoretical framework is proposed in which choices are a function of visual attention. Consistent with the existing literature, the assumption that participants use all the available information to make their decisions does not hold. The results also illustrate that model fit and predictive power are greatly increased by using visual attendance measures as regressors. The use of eye-tracking technology has value for measuring revealed attention and to benchmark with existing choice models.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2017.1420879 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:25:y:2018:i:19:p:1355-1359

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2019-04-21
Handle: RePEc:taf:apeclt:v:25:y:2018:i:19:p:1355-1359