[IACM List] Two new large datasets on real-world negotiations, freely available for research

[Brad Larsen]

Dear IACM community,

During this time when some experimental studies have had to be put on hold,
we would like to make you aware of two new, large data resources that we
have made publicly available. Both datasets contain microdata from price
negotiations in the field.

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 actions
taken during the price negotiations (including all offers). Data and
details, as well as a link to the study, are available at
http://www.nber.org/data/used-car-bargaining.

The second dataset comes from Backus, Blake, Larsen, and Tadelis (2020) and
contains over 25 million price negotiation sequences from eBay's Best Offer
platform. Each observation contains information on all negotiation actions
(including all offers) and anonymized identifiers for the buyer, seller,
and product. The dataset spans sales from mid 2012 to mid 2013. Data and
details, as well as a link to the study, are available at
http://www.nber.org/data/bargaining.

Both datasets contain a large number of variables describing individual
differences across bargaining interactions. The datasets are rich enough to
support machine learning analysis or more traditional statistical analysis.

Please distribute to any researchers or students who might be interested.
Do not hesitate to contact us with questions.

Matt Backus, Columbia University
Tom Blake, eBay Research
Brad Larsen, Stanford University
Steve Tadelis, UC Berkeley
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://iafcm.org/pipermail/list_iafcm.org/attachments/20200512/b21c8c92/attachment.html>