Abstract
dc:description.abstractThis study empirically examines the historical probability of renewal for nearly three-hundred properties across forty-one Metropolitan Statistical Areas throughout the United States. It then investigates the factors that affect the office tenant renewal decision using linear and probit regression models.Through statistical analysis, several factors emerge as influential in the renewal decision, including the size of the occupied space, the level of employment in the market, as well as location. Logical building characteristics such as the age of the space and the size of the building did not appear to have as large of an impact on renewal probability. For the more than 15,000 individual leases in this study, the overall renewal probability was lower than expected. However, the regression analysis has revealed some explanation of the difference between the actual results and the industry accepted renewal probability rate of 75%.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2004
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Asser, Rebecca, 1978-
- Advisor dc:contributor.advisor
-
- William Wheaton.
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
- en_US
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/26714
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/26714