<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T21:12:53Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/90134" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/90134</identifier><datestamp>2022-01-13T07:54:00Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Michael Greenstone.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Swift, Henry Spencer</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Economics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Economics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-09-19T21:41:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-09-19T21:41:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/90134</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">890150673</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Economics, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">"June 2014." Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 42-44).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Henry Spencer Swift.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">49 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Economics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">The spatial clustering of occupations</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>The spatial clustering of occupations&lt;/Title>
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   	&lt;PublicationDate>2014&lt;/PublicationDate>
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        	&lt;DisplayName>Swift, Henry Spencer&lt;/DisplayName>
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    &lt;Keyword>Economics.&lt;/Keyword>
   	&lt;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&amp;apos; 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.&lt;/Abstract>
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