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Massachusetts Institute of Technology

The spatial clustering of occupations

Abstract

dc:description.abstract

Workers in similar occupations cluster, much like firms in similar industries. This may be due to firm clustering, but I propose a supply-side mechanism that may also provide an explanation. When workers face a risk of separation from a particular job, they will consider the other jobs available in a particular area in their location decision. Based on this theory I make three predictions. Workers will tend to cluster in areas where their skills are in high demand. They will be paid less in these areas, ceteris paribus. And demand shocks will affect workers' wages less, and employment more, in areas where their skills are in high demand. I test this mechanism using data from the decennial U.S. Census. I use O*NET data on occupational tasks to construct a measure of occupational distance. I then estimate labor supply curves to determine to test the predictions of the theory. I do not find substantial evidence for this mechanism.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Economics.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Swift, Henry Spencer
Advisor dc:contributor.advisor
  • Michael Greenstone.

Subjects

dc:subject × 1

Rights

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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/90134
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/90134

Chain of custody

source
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MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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related terms
citation

Swift, Henry Spencer. The spatial clustering of occupations. Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90134