Estimation of an auction model with strategic uncertainty

I propose a model for analysing bidding under strategic uncertainty. Bidders do not know the entire distribution of the bids of the other bidders. Instead, they only know the first M moments of the bid distribution. I estimate the model with experimental data. Preliminary analysis suggests that my decision model with knowledge of only the first moment predicts the bidders’ values better than an equilibrium-based model with knowledge of the entire distribution.