{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/103450"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/103450","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Uncovering the premium for higher floors in office space","abstract":"How do commercial office rents vary across different floors within the same building? This question seeks to understand the heterogeneity of real estate by considering the location in three dimensions. This thesis aims to answer that question by analyzing office suite listings across geographies. The asking rents from 55,907 commercial office suite listings, in 2,567 buildings across 25 cities were analyzed for price differentials between floors. The asking rent level across each building for the last six months was used instead of hedonic analysis to allow for the underlying factors affecting price other than the floor number of the listed suite. The analysis showed a statistically significant positive rent premium for suites on higher floors in twenty three of the twenty-five cities. The rent premiums varied across the cities, with those cities with a larger market for commercial offices typically enjoying higher rent premiums. There was no relationship found between physical characteristics of the city (including population, density, average building height) and the rent premium for additional floors.","abstract_html":"How do commercial office rents vary across different floors within the same building? This question seeks to understand the heterogeneity of real estate by considering the location in three dimensions. This thesis aims to answer that question by analyzing office suite listings across geographies. The asking rents from 55,907 commercial office suite listings, in 2,567 buildings across 25 cities were analyzed for price differentials between floors. The asking rent level across each building for the last six months was used instead of hedonic analysis to allow for the underlying factors affecting price other than the floor number of the listed suite. The analysis showed a statistically significant positive rent premium for suites on higher floors in twenty three of the twenty-five cities. The rent premiums varied across the cities, with those cities with a larger market for commercial offices typically enjoying higher rent premiums. There was no relationship found between physical characteristics of the city (including population, density, average building height) and the rent premium for additional floors.","abstract_has_math":false,"creators":["Nutt, Oliver (Oliver Dominic)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.","school":null,"contributors":[],"advisors":["William C. Wheaton."],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016","date_published":"2016","updated_at":"2026-07-22T22:21:40Z","subjects":["Center for Real Estate. Program in Real Estate Development."],"languages":["eng"],"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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/103450","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["William C. Wheaton."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Center for Real Estate. 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This question seeks to understand the heterogeneity of real estate by considering the location in three dimensions. This thesis aims to answer that question by analyzing office suite listings across geographies. The asking rents from 55,907 commercial office suite listings, in 2,567 buildings across 25 cities were analyzed for price differentials between floors. The asking rent level across each building for the last six months was used instead of hedonic analysis to allow for the underlying factors affecting price other than the floor number of the listed suite. The analysis showed a statistically significant positive rent premium for suites on higher floors in twenty three of the twenty-five cities. The rent premiums varied across the cities, with those cities with a larger market for commercial offices typically enjoying higher rent premiums. There was no relationship found between physical characteristics of the city (including population, density, average building height) and the rent premium for additional floors."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M. in Real Estate Development"]},{"key":"dc:title","label":"Title","values":["Uncovering the premium for higher floors in office space"]}]}],"canonical_facts":{"dc:contributor.advisor":["William C. Wheaton."],"dc:contributor.department":["Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development."],"dc:contributor.other":["Massachusetts Institute of Technology. Center for Real Estate. 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The asking rent level across each building for the last six months was used instead of hedonic analysis to allow for the underlying factors affecting price other than the floor number of the listed suite. The analysis showed a statistically significant positive rent premium for suites on higher floors in twenty three of the twenty-five cities. The rent premiums varied across the cities, with those cities with a larger market for commercial offices typically enjoying higher rent premiums. There was no relationship found between physical characteristics of the city (including population, density, average building height) and the rent premium for additional floors."],"dc:description.degree":["S.M. in Real Estate Development"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/103450"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. 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