<?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>2026-09-19T10:59:43Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/126973" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/126973</identifier><datestamp>2023-09-21T13:31:39Z</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">Jonathan A. Parker.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Cole, Allison(Business management scientist) (Allison Taylor)Massachusetts Institute of Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-09-03T16:46:22Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2020-09-03T16:46:22Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/126973</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1191221879</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, May, 2020</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from the official PDF of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 51-56).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This paper examines cyclical dynamics of idiosyncratic consumption risk using consumption data from the Nielsen Consumer Panel and the Panel Study of Dynamic Income. With GMM estimates and supplemental graphical analysis, I show that the idiosyncratic risk in consumption is i) highly persistent, with an autocorrelation coefficient near unity ii) strongly countercyclical, with the conditional variance rising by an average of 25 percent from peak to trough. Compared to previous findings on income dynamics, I show that the variance of idiosyncratic consumption risk is also countercyclical, but less so. Moreover, I do not find that consumption risk displays procyclical skewness, as has been shown with income risk. Furthermore, in a simple asset-pricing framework, the estimated countercyclical cross-sectional variance of consumption raises the equity premium by 4.1 percent from the representative-agent case, using a risk aversion of only 10-15.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Allison Cole.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Management Research</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M.inManagementResearch Massachusetts Institute of Technology, Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">112 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">MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</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">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Cyclical dynamics in idiosyncratic consumption risk</dim:field>
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   	&lt;Title>Cyclical dynamics in idiosyncratic consumption risk&lt;/Title>
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   	&lt;PublicationDate>2020&lt;/PublicationDate>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
   	&lt;Abstract>This paper examines cyclical dynamics of idiosyncratic consumption risk using consumption data from the Nielsen Consumer Panel and the Panel Study of Dynamic Income. With GMM estimates and supplemental graphical analysis, I show that the idiosyncratic risk in consumption is i) highly persistent, with an autocorrelation coefficient near unity ii) strongly countercyclical, with the conditional variance rising by an average of 25 percent from peak to trough. Compared to previous findings on income dynamics, I show that the variance of idiosyncratic consumption risk is also countercyclical, but less so. Moreover, I do not find that consumption risk displays procyclical skewness, as has been shown with income risk. Furthermore, in a simple asset-pricing framework, the estimated countercyclical cross-sectional variance of consumption raises the equity premium by 4.1 percent from the representative-agent case, using a risk aversion of only 10-15.&lt;/Abstract>
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