09:30 - 11:00
Room: Floor 1, Room 108, Nature House
Chair/s:
Renaud Foucart
Renaud Foucart - Decreasing Differences in Expert Advice: Evidence from Chess Players
Marco Persichina - Congestion management and navigation systems: a lab experiment on individual choices vs delegation
François t'Serstevens - Fake-News Spread Index: Leveraging the ‘Wisdom of the Crowds’ and MrP to Make Representative Inference
Alexey Upravitelev - Experimental Approach to Financial Literacy Measurement
Decreasing Differences in Expert Advice: Evidence from Chess Players
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Presented by: Renaud Foucart
Elias Bouacida 2Renaud Foucart 1, Maya Jalloul 1
1 Lancaster University
2 Universite Paris 8
We study the impact of external advice on the relative performance of chess players. We asked players in chess tournaments to evaluate positions in past games and allowed them to revise their evaluation following advice from a high or a low ability player. While our data confirms the theoretical prediction that high-quality advice has the potential to act as a “great equalizer,” reducing the difference between high and low ability players, this is not what happens in practice. This is in part because our subjects ignore too much of the advice they receive, but also because low ability players pay – either due to overconfidence or intrinsic preference – a higher premium than high ability ones by following their initial idea instead of high-quality advice.