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Three essays on data-driven problems

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TitleInfo
Title
Three essays on data-driven problems
Name (type = personal)
NamePart (type = family)
Zhang
NamePart (type = given)
He
NamePart (type = date)
1985-
DisplayForm
He Zhang
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Zhao
NamePart (type = given)
Yao
DisplayForm
Yao Zhao
Affiliation
Advisory Committee
Role
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chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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Graduate School - Newark
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school
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theses
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DateCreated (qualifier = exact)
2018
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2018-10
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2018
Place
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xx
Language
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eng
Abstract (type = abstract)
This dissertation comprises three essays on data-driven problems. The first essay addresses the dynamic, evolving academic social network through co-authorship. A descriptive analysis of the research publications appearing in Management Science (MS) and Operations Research (OR) from 1995 to 2014 is visualized to throw light on the basic collaboration patterns. The second part of the analysis examines the similarities and differences between MS and OR. The social network characteristics are studied and a clique analysis by size, structure, density, and diversity is performed to understand the factors that drive productivity. Finally, new metrics are introduced to assess the
journals on their openness to new authors, and on the influence of the status of the editorial board on the chance of publishing a submitted article. The second essay focuses on healthcare analytics. It provides a general macro-level review of the healthcare industry. First, the essay includes an analysis of population health (inpatients) in the New York State, disease mapping associated with the gender, age, and race, and the trend over time is also studied. Second, the relationships are explored between hospital charges or costs and service quality ratings, and between hospital charges or costs and
local demographics indicators. Third, hospital profitability and drivers for the profits are investigated. Finally, an optimization model is built to determine the locations and services provided for hospital network expansion. The model is based on the parameters estimated on the New York State inpatient data. The third essay examines the Chinese housing bubble, or, more specifically, on the relationships among housing prices, macroeconomic policies, and physical properties. The aim is to determine the validity, if any, of the many popular conjectures circulated in the media. Based on real-time trading
data of the second-hand housing market in Beijing and macro-economic indicators, a valuation model is developed to establish the housing market trend in China in order to help investors in choosing the appropriate investment strategy, and the policy makers in regulating the market.
Subject (authority = RUETD)
Topic
Management
Subject (authority = ETD-LCSH)
Topic
Social networks
Subject (authority = ETD-LCSH)
Topic
Medical care—United States
Subject (authority = ETD-LCSH)
Topic
Real estate business--China
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Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_9169
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electronic resource
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Extent
1 online resource (135 pages : illustrations)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by He Zhang
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TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-2kht-z773
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
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Zhang
GivenName
He
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-08-28 21:56:07
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Name
He Zhang
Role
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Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
License
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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