I'm a postdoctoral researcher at New York University Abu Dhabi. My research uses empirical methods to study subjective judgments and information aggregation, with applications in Behavioral Economics, Decision Sciences, Forecasting and Financial Markets.
I'm on the job market for 2025-2026.
Job market paper: click here
CV: click here
Email: cem.peker@nyu.edu
Publications
Peker, C., & Wilkening, T. (2025). Robust recalibration of aggregate probability forecasts using meta-beliefs. International Journal of Forecasting, 41 (2), 613-630. https://doi.org/10.1016/j.ijforecast.2024.09.005
Peker, C. (2024). Incentives for self-extremized expert judgments to alleviate the shared-information problem. Decision, 11 (1), 150172. https://doi.org/10.1037/dec0000198
Peker, C. (2023). Extracting the collective wisdom in probabilistic judgments. Theory and Decision, 94 (3), 467-501. https://doi.org/10.1007/s11238-022-09899-4
Work in Progress
Can we improve market forecasts with community predictions? Evidence from betting markets (Working paper)
Peer betting to elicit unverifiable information (joint with Aurélien Baillon and Sophie van der Zee) (Working paper)
Optimal linear aggregation of correlated expert judgments (Under review, Working paper)
Expert decisions under pressure: Evidence from professional tennis (joint with John Wooders) (Abstract)
Using prediction interval skewness to improve forecast accuracy (joint with Yael Grushka-Cockayne, Victor R.R. Jose, Jacob Rittich and Jack Soll) (Abstract)