<?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>2026-09-21T12:34:47Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/88383" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/88383</identifier><datestamp>2022-01-13T07:54:08Z</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">Christopher Warshaw.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Heaps, Elisha W. (Elisha Windi)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Political Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Political Science</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-07-11T21:07:49Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-07-11T21:07:49Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2014</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/1721.1/88383</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">881183367</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Political Science, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 158-164).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis examines the relationship between public opinion and the way senators vote on specific issues, and how this "responsiveness" might vary across income groups. The independent variable of interest, state-level income group preference, is estimated using multilevel regression and post-stratification (MRP) analysis. This is an improvement over earlier methods, particularly when modeling income group level opinion where there are insufficient sample sizes in national surveys. Income group opinions are found to be distinct across issue areas and the top ten percent of the income bracket are found to hold different opinions when compared to a more inclusively defined high-income group. Ideal point estimation is used to generate the dependent variable of senator responsiveness based on roll call votes. The first-stage MRP estimates of state-level income group opinion are then regressed on the corresponding senators' ideal points by issue area. While this paper expected the second stage analysis to support an Instructed-delegate model of responsiveness, where senators vote in accordance with constituents' interests, no evidence of such a relationship is found, even at the aggregate opinion level. The evidence suggests that senators are looking elsewhere when making their policy decisions.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Elisha W. Heaps.</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">164 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">Political Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Do the rich speak louder? : examining whether U.S. Senators differentially respond to their constituents by income across issues</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Examining whether U.S. Senators differentially respond to their constituents by income across issues</dim:field>
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   	&lt;Title>Do the rich speak louder? : examining whether U.S. Senators differentially respond to their constituents by income across issues&lt;/Title>
   	&lt;Subtitle>Examining whether U.S. Senators differentially respond to their constituents by income across issues&lt;/Subtitle>
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   	&lt;PublicationDate>2014&lt;/PublicationDate>
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        	&lt;DisplayName>Heaps, Elisha W. (Elisha Windi)&lt;/DisplayName>
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    &lt;Keyword>Political Science.&lt;/Keyword>
   	&lt;Abstract>This thesis examines the relationship between public opinion and the way senators vote on specific issues, and how this &amp;quot;responsiveness&amp;quot; might vary across income groups. The independent variable of interest, state-level income group preference, is estimated using multilevel regression and post-stratification (MRP) analysis. This is an improvement over earlier methods, particularly when modeling income group level opinion where there are insufficient sample sizes in national surveys. Income group opinions are found to be distinct across issue areas and the top ten percent of the income bracket are found to hold different opinions when compared to a more inclusively defined high-income group. Ideal point estimation is used to generate the dependent variable of senator responsiveness based on roll call votes. The first-stage MRP estimates of state-level income group opinion are then regressed on the corresponding senators&amp;apos; ideal points by issue area. While this paper expected the second stage analysis to support an Instructed-delegate model of responsiveness, where senators vote in accordance with constituents&amp;apos; interests, no evidence of such a relationship is found, even at the aggregate opinion level. The evidence suggests that senators are looking elsewhere when making their policy decisions.&lt;/Abstract>
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