Dear researchers,
As part of National Science Foundation Project #1530632, "Bounds
Approaches to Empirical Market Design," and Project #1629060
"Bilateral Bargaining through the Lens of Big Data", the NBER has
agreed to host two large datasets containing details on
alternating-offer price negotiations.
The first dataset comes from Larsen (2020) and contains over 250,000
observations of a secret reserve price auction followed by sequential
bargaining from business-to-business transactions in the wholesale
used-car industry. The dataset spans sales from 2007 through part of
2010 for several large auction houses. Each observation contains
details on car characteristics, the auction, the secret reserve
price, and all bargaining actions. Data and details are available at
<
http://www.nber.org/data/used-car-bargaining>
http://www.nber.org/data/used-car-bargaining.
The second dataset comes from Backus, Blake, Larsen, and Tadelis
(2020) and contains over 25 million bargaining sequences from eBay's
Best Offer platform. Each observation contains information on all
bargaining actions and anonymized identifiers for the buyer, seller,
and product. The dataset spans sales from mid 2012 to mid 2013. Data
and details are available at
<
http://www.nber.org/data/bargaining>
http://www.nber.org/data/bargaining.
Both datasets are sufficiently rich (with a large number of
variables/features) to support machine learning analysis.
Please share with any researchers who might be interested.
Best,
Matt Backus
Tom Blake
Brad Larsen
Steve Tadelis
Received on Mon May 11 2020 - 08:37:35 EDT
