Published August 2010 | Version Published + Supplemental Material
Journal Article Open

Ascending Prices and Package Bidding: A Theoretical and Experimental Analysis

  • 1. ROR icon The Ohio State University
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Stanford University

Abstract

We use theory and experiment to explore the performance of multi-round, price-guided, combinatorial auctions. We define efficiency-relevant and core-relevant packages and show that if bidders bid aggressively on these and losing bidders bid to their limits, then the auction leads to efficient or core allocations. We study the theoretically relevant behaviors and hypothesize that subjects will make only a few significant bids, and that certain simulations with auto-bidders will predict variations in performance across different environments. Testing the combinatorial clock auction (CCA) design, we find experimental support for these two hypotheses. We also compare the CCA to a simultaneous ascending auction.

Additional Information

© 2010 American Economic Association. We are grateful to the referees for their comments and suggestions. We thank Nels Christiansen and Marissa Beck who provided valuable research support; David Moshal who created the auction software; and Jo Ducey for editorial assistance. We thank Peter Cramton, Jacob Goeree, Marion Ott, and attendees at the University of Arizona conference in honor of Vernon Smith's eightieth birthday, and attendees at the Pennsylvania State University CAPCP conference for helpful comments. Kagel and Milgrom acknowledge financial help from the National Science Foundation (grant ITR-0427770), and Kagel acknowledges help from the National Science Foundation (grant SES-0648293). The experimental instructions, together with the other electronic appendices, are available on the American Economic Journal: Microeconomics Web site.

Attached Files

Published - mic.2.3.160.pdf

Supplemental Material - 2009-0122_app.pdf

Files

2009-0122_app.pdf

Files (1.9 MB)

Name Size
md5:b330e093c4c2f3e02ce076028f5eaa9e
921.6 kB Preview Download
md5:aa3f486a888fd00d4a567e663180b1ce
993.3 kB Preview Download

Additional details

Identifiers

Eprint ID
76309
DOI
10.1257/mic.2.3.160
Resolver ID
CaltechAUTHORS:20170408-171406252

Funding

NSF
ITR-0427770
NSF
SES-0648293

Dates

Created
2018-03-12
Created from EPrint's datestamp field
Updated
2021-11-15
Created from EPrint's last_modified field