Working Paper: NBER ID: w29511
Authors: Ali Hortasu; Isabelle Perrigne
Abstract: The empirical analysis of auction data has become a thriving field of research over the past thirty years. Relying on sophisticated models and advanced econometric methods, it addresses a wide range of policy questions for both public and private institutions. This chapter offers a guide to the literature by stressing how data features and policy questions have shaped research in the field. The chapter is organized by types of goods for sale and covers auctions of timber, construction and services procurement, oil and gas leases, online auctions, internet advertising, electricity, financial securities, spectrum, as well as used goods. It discusses the idiosyncrasies of each applied setting and the respective empirical findings.
Keywords: No keywords provided
JEL Codes: G2; L11; L4; L71; L73; L74; L86; L94; L96
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| reserve price (D44) | bids submitted by participants (D44) |
| reserve price (D44) | auction revenue (D44) |
| auction design (D44) | bidder participation (D44) |