<?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>2026-09-20T11:34:13Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/122835" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/122835</identifier><datestamp>2026-06-16T18:51:18Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</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">Antoinette Schoar.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Liebersohn, Carl J.</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">2019-11-12T17:37:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-11-12T17:37:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/122835</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1126277403</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2018</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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This dissertation consists of three chapters on topics related to real estate and finance. The first chapter studies the effects of bank competition on bank risk-taking and lending. Using a quasi-experimental design that exploits the exogenous application of bank antitrust laws following bank mergers, I show that bank competition leads to more loans going to larger and safer borrowers. The second chapter shows that housing demand shocks from 2000-2006 are highly correlated the elasticity of housing supply in different regions, and explores the implications of this for research on the effects of housing prices. The third chapter, written with Gregory Howard, proposes a new channel for changes in aggregate housing prices. We show empirically and theoretically that increased demand for housing in inelastic areas led to higher aggregate housing prices from 2000-2006, and quantify the magnitude of this channel.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Carl J. Liebersohn.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="tableofcontents" lang="en_US">Chapter 1. How Does Competition Affect Bank Lending? Quasi-Experimental Evidence from Bank Mergers -- Chapter 2. Housing Demand, Regional House Prices and Consumption -- Chapter 3. The Geography Channel of House Price Appreciation.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">Ph.D. Massachusetts Institute of Technology, Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">178 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 are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Essays in real estate and finance</dim:field>
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   	&lt;Title>Essays in real estate and finance&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
   	&lt;Abstract>This dissertation consists of three chapters on topics related to real estate and finance. The first chapter studies the effects of bank competition on bank risk-taking and lending. Using a quasi-experimental design that exploits the exogenous application of bank antitrust laws following bank mergers, I show that bank competition leads to more loans going to larger and safer borrowers. The second chapter shows that housing demand shocks from 2000-2006 are highly correlated the elasticity of housing supply in different regions, and explores the implications of this for research on the effects of housing prices. The third chapter, written with Gregory Howard, proposes a new channel for changes in aggregate housing prices. We show empirically and theoretically that increased demand for housing in inelastic areas led to higher aggregate housing prices from 2000-2006, and quantify the magnitude of this channel.&lt;/Abstract>
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