Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/252063 
Year of Publication: 
2022
Series/Report no.: 
CESifo Working Paper No. 9546
Publisher: 
Center for Economic Studies and ifo Institute (CESifo), Munich
Abstract: 
This paper presents an empirical investigation of the relation between decision speed and decision quality for a real-world setting of cognitively-demanding decisions in which the timing of decisions is endogenous: professional chess. Move-by-move data provide exceptionally detailed and precise information about decision times and decision quality, based on a comparison of actual decisions to a computational benchmark of best moves constructed using the artificial intelligence of a chess engine. The results reveal that faster decisions are associated with better performance. The findings are consistent with the predictions of procedural decision models like drift-diffusion-models in which decision makers sequentially acquire information about decision alternatives with uncertain valuations.
Subjects: 
response times
speed-performance profile
drift-diffusion model
uncertain evaluations
JEL: 
D01
D90
C70
C80
Document Type: 
Working Paper
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