Cem Peker's Research Homepage

I am a postdoctoral researcher at New York University Abu Dhabi. My work uses economic theory and experiments to study judgments, decision making and information aggregation, with applications in Behavioral Economics and Finance.

My CV is available here. You can contact me at cem.peker@nyu.edu 

Publications

• Peker, C. (2026). Optimal linear aggregation of correlated expert judgments. Economics Letters 261, 112855. https://doi.org/10.1016/j.econlet.2026.112855 

• 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

Working papers

• Peer betting to elicit unverifiable information (joint with Aurélien Baillon and Sophie van der Zee) (Working paper)

• Expert decisions under pressure: Evidence from professional tennis (joint with John Wooders) (Working paper)

• Market efficiency and the wisdom of crowds (Working paper)

Work in progress

• Recalibrating probability predictions from inefficient markets

• Incentives to supervise AI alignment (joint with Aurélien Baillon)

• Linear opinion pools of non-Bayesian learners

• Using prediction interval skewness to improve forecast accuracy (joint with Yael Grushka-Cockayne, Victor R.R. Jose, Jacob Rittich and Jack Soll)