<?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>2026-09-21T03:11:54Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/38334" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/38334</identifier><datestamp>2022-01-13T07:54:52Z</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">Antoinette Schoar and Stanley N. Lapidus.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Behrens, Jeffrey S</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">Harvard University--MIT Division of Health Sciences and Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2007-08-03T18:31:02Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2007</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">156912606</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2007.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Vita.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaf 28).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Venture capital investment performance data and performance attribution are not typically published. Venture investors articulate (and sell to LPs) conflicting strategies; the popular business literature and culture is rife with rapidly changing beliefs about the relative attractiveness of healthcare venture subsectors, particularly therapeutics and devices. To examine these issues in a more rigorous format I developed a dataset of healthcare venture deals, scored each deal with a new metric ("jb-score"), and assigned each portfolio company to appropriate subsectors. This dataset was then used to examine subsector performance, persistence, and fund strategy attribution (pure vs. mixed healthcare strategies.) Specifically, I found that the performance characteristics of device and therapeutic (aka biotech or drug) investments are similar: both subsectors evidence similar jb-scores and firms who invest heavily in these subsectors show similar levels of persistent overperformance with devices showing somewhat higher persistence. Firms that focus on one subsector do not perform as well as firms that follow a more balanced strategy. Finally, I examine the validity of the jb-score and offer some suggestions for future improvements.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jeffrey S. Behrens.</dim:field>
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   <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">32 leaves</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>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Harvard University--MIT Division of Health Sciences and Technology.</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">Investment performance of life-science venture capital investment funds, persistence, and subsector analysis</dim:field>
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   	&lt;Title>Investment performance of life-science venture capital investment funds, persistence, and subsector analysis&lt;/Title>
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   	&lt;Abstract>Venture capital investment performance data and performance attribution are not typically published. Venture investors articulate (and sell to LPs) conflicting strategies; the popular business literature and culture is rife with rapidly changing beliefs about the relative attractiveness of healthcare venture subsectors, particularly therapeutics and devices. To examine these issues in a more rigorous format I developed a dataset of healthcare venture deals, scored each deal with a new metric (&amp;quot;jb-score&amp;quot;), and assigned each portfolio company to appropriate subsectors. This dataset was then used to examine subsector performance, persistence, and fund strategy attribution (pure vs. mixed healthcare strategies.) Specifically, I found that the performance characteristics of device and therapeutic (aka biotech or drug) investments are similar: both subsectors evidence similar jb-scores and firms who invest heavily in these subsectors show similar levels of persistent overperformance with devices showing somewhat higher persistence. Firms that focus on one subsector do not perform as well as firms that follow a more balanced strategy. Finally, I examine the validity of the jb-score and offer some suggestions for future improvements.&lt;/Abstract>
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