Housing Prices and the Skills Composition of Neighborhoods
In the United States (US), low-income workers are being pushed away from city centers where the cost of living is high. The effects of such changes on labor mobility and housing price have been explored in the literature. However, few studies have focused on the occupations and specific skills that...
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Format: | Article |
Language: | en_US |
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Frontiers in Big Data
2021
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Online Access: | https://hdl.handle.net/1721.1/131064 |
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author | Althobaiti, Shahad Alghumayjan, Saud Frank, Morgan R. Moro, Esteban Alabdulkareem, Ahmad Pentland, Alex |
author_facet | Althobaiti, Shahad Alghumayjan, Saud Frank, Morgan R. Moro, Esteban Alabdulkareem, Ahmad Pentland, Alex |
author_sort | Althobaiti, Shahad |
collection | MIT |
description | In the United States (US), low-income workers are being pushed away from city centers where the cost of living is high. The effects of such changes on labor mobility and housing price have been explored in the literature. However, few studies have focused on the occupations and specific skills that identify the most susceptible workers. For example, it has become increasingly challenging to fill the service sector jobs in the San Francisco (SF) Bay Area because appropriately skilled workers cannot afford the growing cost of living within commuting distance. With this example in mind, how does a neighborhood’s skill composition change as a result of higher housing prices? Are there certain skill sets that are being pushed to the geographical periphery of a city despite their essentialness to the city’s economy? Our study focuses on the impact of housing prices with a granular view of skills compositions to answer the following question: Has the density of cognitive skill workers been increasing in a gentrified area? We hypothesize that, over time, low-skilled workers are pushed away from downtown or areas where high-skill establishments thrive. Our preliminary results show that high-level cognitive skills are getting closer to the city center indicating adaptation to the increase of median housing prices as opposed to low-level physical skills that got further away. We examined tracts that the literature indicates as gentrified areas and found a pattern in which there is a temporal increase in median housing prices and the number of business establishments coupled with an increase in the percentage of skilled cognitive workers. |
first_indexed | 2024-09-23T08:01:50Z |
format | Article |
id | mit-1721.1/131064 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T08:01:50Z |
publishDate | 2021 |
publisher | Frontiers in Big Data |
record_format | dspace |
spelling | mit-1721.1/1310642021-07-07T03:35:07Z Housing Prices and the Skills Composition of Neighborhoods Althobaiti, Shahad Alghumayjan, Saud Frank, Morgan R. Moro, Esteban Alabdulkareem, Ahmad Pentland, Alex In the United States (US), low-income workers are being pushed away from city centers where the cost of living is high. The effects of such changes on labor mobility and housing price have been explored in the literature. However, few studies have focused on the occupations and specific skills that identify the most susceptible workers. For example, it has become increasingly challenging to fill the service sector jobs in the San Francisco (SF) Bay Area because appropriately skilled workers cannot afford the growing cost of living within commuting distance. With this example in mind, how does a neighborhood’s skill composition change as a result of higher housing prices? Are there certain skill sets that are being pushed to the geographical periphery of a city despite their essentialness to the city’s economy? Our study focuses on the impact of housing prices with a granular view of skills compositions to answer the following question: Has the density of cognitive skill workers been increasing in a gentrified area? We hypothesize that, over time, low-skilled workers are pushed away from downtown or areas where high-skill establishments thrive. Our preliminary results show that high-level cognitive skills are getting closer to the city center indicating adaptation to the increase of median housing prices as opposed to low-level physical skills that got further away. We examined tracts that the literature indicates as gentrified areas and found a pattern in which there is a temporal increase in median housing prices and the number of business establishments coupled with an increase in the percentage of skilled cognitive workers. 2021-07-06T20:41:19Z 2021-07-06T20:41:19Z 2021-05-31 Article https://hdl.handle.net/1721.1/131064 Althobaiti, S., Alghumayjan, S., Frank, M. R., Moro, E., Alabdulkareem, A., & Pentland, A. (2021). Housing Prices and the Skills Composition of Neighborhoods. Frontiers in big Data, 4, 25. en_US Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us/ application/pdf Frontiers in Big Data |
spellingShingle | Althobaiti, Shahad Alghumayjan, Saud Frank, Morgan R. Moro, Esteban Alabdulkareem, Ahmad Pentland, Alex Housing Prices and the Skills Composition of Neighborhoods |
title | Housing Prices and the Skills Composition of Neighborhoods |
title_full | Housing Prices and the Skills Composition of Neighborhoods |
title_fullStr | Housing Prices and the Skills Composition of Neighborhoods |
title_full_unstemmed | Housing Prices and the Skills Composition of Neighborhoods |
title_short | Housing Prices and the Skills Composition of Neighborhoods |
title_sort | housing prices and the skills composition of neighborhoods |
url | https://hdl.handle.net/1721.1/131064 |
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