activity
20182023
most citedIdentification of Auction Models Using Order Statistics

6 citations · 11 across the 5 of their papers we have counts for

collaborators

6 papers

econ.EM2023

Under-Identification of Structural Models Based on Timing and Information Set Assumptions

Daniel Ackerberg, Garth Frazer, Kyoo il Kim +2

We revisit identification based on timing and information set assumptions in structural models, which have been used in the context of production functions, demand equations, and h…

econ.EM2022★ 1 cited

Order Statistics Approaches to Unobserved Heterogeneity in Auctions

Yao Luo, Peijun Sang, Ruli Xiao

We establish nonparametric identification of auction models with continuous and nonseparable unobserved heterogeneity using three consecutive order statistics of bids. We then prop…

econ.EM2022★ 6 cited

Identification of Auction Models Using Order Statistics

Yao Luo, Ruli Xiao

Auction data often contain information on only the most competitive bids as opposed to all bids. The usual measurement error approaches to unobserved heterogeneity are inapplicable…

econ.EM2022

Efficient Estimation of Structural Models via Sieves

Yao Luo, Peijun Sang

We propose a class of sieve-based efficient estimators for structural models (SEES), which approximate the solution using a linear combination of basis functions and impose equilib…

econ.EM2019★ 4 cited

Nonparametric Identification of First-Price Auction with Unobserved Competition: A Density Discontinuity Framework

Emmanuel Guerre, Yao Luo

We consider nonparametric identification of independent private value first-price auction models, in which the analyst only observes winning bids. Our benchmark model assumes an ex…

econ.EM2018

Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models

Victor Aguirregabiria, Jiaying Gu, Yao Luo

We study the identification and estimation of structural parameters in dynamic panel data logit models where decisions are forward-looking and the joint distribution of unobserved…