<?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>2026-09-20T03:30:32Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111355" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111355</identifier><datestamp>2026-06-17T14:47:00Z</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">Daron Acemoglu and Robert Townsend.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Shi, Yu, Ph. D. Massachusetts Institute of Technology</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">2017-09-15T15:30:31Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2017-09-15T15:30:31Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/111355</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1003291070</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Economics, 2017.</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">In this thesis, I use rich firm-level data to examine the impact of sectoral shocks on aggregate fluctuations and economic growth through the lens of corporate investment and entry and exit decisions. The decisions made in response to different firm-level frictions and specific features of sectors can induce different types of market failures. Understanding the macroeconomic consequences of corporate decisions is a key component of creating sound policies that facilitate stable and sustainable economic growth. I employ a unique combination of reduced-form, theoretical, and structural tools in my thesis. Each chapter typically starts with new empirical patterns relevant for macro, established using large-scale firm-level data and state-of- the-art reduced-form econometric methods. I attempt to formulate new microeconomic and macroeconomic models inspired by these patterns. I then develop a multi-pronged approach using additional rigorous reduced-form estimation to rule out alternative hypotheses, structural estimation to verify the economic content of my approach and to identify parameters, and quantitative evaluation to understand the macroeconomic importance of these mechanisms.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Yu Shi.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="tableofcontents" lang="en_US">1. Real Estate Booms and Endogenous Productivity Growth -- 2. Imperfect Competition and the Network Origin of Aggregate Fluctuations -- 3. Cross-holding Networks and the Transmission of Banking Sector Shocks.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">270 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">Economics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Essays in applied macroeconomics</dim:field>
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   	&lt;Title>Essays in applied macroeconomics&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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    &lt;Keyword>Economics.&lt;/Keyword>
   	&lt;Abstract>In this thesis, I use rich firm-level data to examine the impact of sectoral shocks on aggregate fluctuations and economic growth through the lens of corporate investment and entry and exit decisions. The decisions made in response to different firm-level frictions and specific features of sectors can induce different types of market failures. Understanding the macroeconomic consequences of corporate decisions is a key component of creating sound policies that facilitate stable and sustainable economic growth. I employ a unique combination of reduced-form, theoretical, and structural tools in my thesis. Each chapter typically starts with new empirical patterns relevant for macro, established using large-scale firm-level data and state-of- the-art reduced-form econometric methods. I attempt to formulate new microeconomic and macroeconomic models inspired by these patterns. I then develop a multi-pronged approach using additional rigorous reduced-form estimation to rule out alternative hypotheses, structural estimation to verify the economic content of my approach and to identify parameters, and quantitative evaluation to understand the macroeconomic importance of these mechanisms.&lt;/Abstract>
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