Thesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, 2019 / Cataloged from PDF version of thesis. / Includes bibliographical references (pages 28-29). / Real estate developers and investors have a vested interest in discovering new techniques for estimating the direction and magnitude of changes in residential rent within a neighborhood. This study hypothesizes, and finds evidence, that taxi activity is a proxy for changing income and neighborhood quality as well as an indicator of gentrification. Novel research is performed to determine if taxi activity is a significant predictor of rents in New York City at the neighborhood level. Nine OLS regression models are created using data about 1,466,234,991 taxi pickups and drop-offs, median rent, and median income across 188 neighborhoods in New York City in the years of 2010-2015. In all nine models, taxi activity is found to be a statistically significant predictor of rent at 99% confidence. This study finds that a I standard deviation positive shock in taxi drop-offs will result in a 0.009% 0.155% higher rent the next year on average. / by Philip Caporaso. / S.M. in Real Estate Development / S.M.inRealEstateDevelopment Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/123616 |
| Date | January 2019 |
| Creators | Caporaso, Philip(Philip S.) |
| Contributors | Alex van de Minne., Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development., Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 29 pages, application/pdf |
| Coverage | n-us-ny |
| Rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission., http://dspace.mit.edu/handle/1721.1/7582 |
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