EconPapers    
Economics at your fingertips  
 

A Decision Support System Including Feedback to Sensitize for Certainty Interval Size

Nathalie Balla ()
Additional contact information
Nathalie Balla: Catholic University Eichstätt-Ingolstadt

Chapter Chapter 9 in Operations Research Proceedings 2022, 2023, pp 69-75 from Springer

Abstract: Abstract In decision-making overconfidence and estimation biases can lead to sub-optimal outcomes and accuracy loss. A debiasing strategy presented in this work is to use feedback based on the error pattern of own previous absolute and 90% certainty (confidence) interval estimates. This is comprised in a decision support system (DSS) and applied in an experiment, where results indicate support for the key assumption that subjects are able to selectively reduce their overconfidence and their estimation bias, if present, with the help of the provided feedback.

Keywords: DSS; Interval estimation; Overconfidence; Overprecision; Debiasing (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:lnopch:978-3-031-24907-5_9

Ordering information: This item can be ordered from
http://www.springer.com/9783031249075

DOI: 10.1007/978-3-031-24907-5_9

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnopch:978-3-031-24907-5_9