no code implementations • 16 Nov 2023 • Federico A. Bugni, Yulong Wang
Given the abundance of bidders in each auction, we propose an asymptotic framework in which the number of bidders diverges while the number of auctions remains fixed.
no code implementations • 22 Feb 2023 • Federico A. Bugni, Ivan A. Canay, Steve McBride
This paper studies settings where the analyst is interested in identifying and estimating the average causal effect of a binary treatment on an outcome.
no code implementations • 7 Feb 2021 • Federico A. Bugni, Mengsi Gao
We use this to propose strategies to minimize their asymptotic variance in a hypothetical RCT based on data from a pilot study.
no code implementations • 5 Oct 2020 • Federico A. Bugni, Jackson Bunting, Takuya Ura
We refer to this as the "homogeneity assumption" in dynamic discrete games.
no code implementations • 20 Jul 2020 • Federico A. Bugni, Jia Li, Qiyuan Li
Under a high-level condition that the observed data can be coupled by a collection of conditionally independent variables, we establish the asymptotic validity of the permutation test, allowing the sizes of the local subsamples to be either be fixed or grow to infinity.
no code implementations • 2 Mar 2018 • Federico A. Bugni, Joel L. Horowitz
The paper presents a method for testing the hypothesis that the same stochastic process generates all the functional data.