Massachusetts Institute of Technology
How predictable : patterns of human economic behavior in the wild
Abstract
dc:description.abstractShopping is driven by needs (to eat, to socialize, to work), but it is also a driver of where we go. I examine the transaction records of 80 million customers and find that while our economic choices predict mobility patterns overall, at the small scale we transact unpredictably. In particular, we bundle together multiple store visits, and interleave the order in which we frequent those stores. Individual predictability also varies with income level. I end with a description of how merchant composition emerges in US cities, as seen through the lens of credit card swipes.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2010
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Krumme, Katherine
- Advisor dc:contributor.advisor
-
- Alex (Sandy) Pentland.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/62118
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/62118