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不完全信息经验博弈的局部识别AI 解读

This paper studies identification for a broad class of empirical games in a general functional setting. Global identification results are known for some specific models, e.g., in some standard auction models. We use functional formulations to obtain general criteria for local identification. These criteria can be applied to both parametric and nonparametric models, and also to models with asymmetry among players and affiliated private information. A benchmark model is…

竞标者不对称下国债拍卖机制的估计与比较AI 解读

Abstract The structural parameters of a share‐auction model accounting for asymmetries across bidders, as well as supply uncertainty, are estimated with a sample of French Treasury auctions. We find evidence of both informational and risk aversion asymmetries across bidders. A counter‐factual analysis also suggests that, in the context of the French Treasury auctions, a shift from the discriminatory to the uniform‐price format would simultaneously benefit the French Treasury…