arXiv Open Access 2022

Identification of Auction Models Using Order Statistics

Yao Luo Ruli Xiao
Lihat Sumber

Abstrak

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 due to dependence among order statistics. We bridge this gap by providing a set of positive identification results. First, we show that symmetric auctions with discrete unobserved heterogeneity are identifiable using two consecutive order statistics and an instrument. Second, we extend the results to ascending auctions with unknown competition and unobserved heterogeneity.

Topik & Kata Kunci

Penulis (2)

Y

Yao Luo

R

Ruli Xiao

Format Sitasi

Luo, Y., Xiao, R. (2022). Identification of Auction Models Using Order Statistics. https://arxiv.org/abs/2205.12917

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓