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Essays on demographic change and education

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TitleInfo
Title
Essays on demographic change and education
Name (type = personal)
NamePart (type = family)
Liu
NamePart (type = given)
Han
NamePart (type = date)
1989-
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Han Liu
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author
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Killingsworth
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Mark
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Mark Killingsworth
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Advisory Committee
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chair
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Piehl
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Anne
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Anne Piehl
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Advisory Committee
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internal member
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Gang
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Ira
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Ira Gang
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Advisory Committee
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RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Lin
NamePart (type = given)
Carl
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Carl Lin
Affiliation
Advisory Committee
Role
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outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2017
DateOther (qualifier = exact); (type = degree)
2017-10
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2017
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
This dissertation discusses a wide variety of topics on demographic change and education. In chapter 2, I examin the fertility effect of Hurricane Katrina. After Hurricane Katrina in 2005, official birth records showed a significant increase in the fertility rate in hurricane destroyed areas. After carefully examining data quality and possible problems with the difference-in-difference method, I conclude that Hurricane Katrina had no significant impact on fertility rate in the affected states. A county-level analysis also supports this conclusion. In Chapter 3, I study the determinants of the supply of secondary education in China. I consider the unique characteristics of the Chinese educational system: strict hierarchies and consequent competition among schools. Schools on higher level, i.e. high schools, and schools of higher quality, i.e. key-point schools, are at the top tier of the hierarchical system, able to enjoy better resources and serve more capable students. I suggest that when schools and education authorities make joint decisions on enrollment, they face a tradeoff between quantity and quality, and a school's position on the hierarchy determines its specific weighting of quantity versus quality. Using census and aggregate enrollment data, I find strong evidence that cohort-crowding effect for different schools is consistent with their optimal decisions on enrollment. In general a 10% increase in cohort size reduces middle school enrollment rate by less than 1% and high school enrollment rate by 3-4%. Meanwhile, a 10% increase in cohort size reduces teacher/student ratio in primary school, middle school and high school by 3.9%, 3.7% and 2.5% respectively. The variation in different schools' responses to cohort size suggests that schools on top tier of the hierarchy sets higher premium on quality than quantity. Further analysis shows that factors affecting the weighting of quantity at different schooling levels, including the introduction of Compulsory Education Law and the number of high schools per county, also have predicted impacts on enrollment. My findings suggest that the strict hierarchy and disparity in resource allocation are the major reasons of inelastic supply in education and I prove that such a system also leads to intense competition among students and loss in efficiency compared to an egalitarian system. Chapter 4 analyzes the whole college going process from application to admission to matriculation, taking use of the national representative dataset Education Longitudinal Study of 2002 (ELS:2002) which contains students' full records on transition from high school to college. This paper addresses two main problem in estimation: first, for college's admission decision, I use information revealed from application to proxy student's unobserved ability and use conditional logit model to eliminate college fixed effect, solving the problem of endogeneity. Second, for student's matriculation decision, as each student's complete choice set is accessible, I use conditional logit model and nested logit model to obtain unbiased estimation on factors affecting a student's matriculation decision. The results show that students' application to different types of college has different implications on student abilities; gender, race, SAT score and academic performance in high school affect students' probability to be admitted. Also, factors like tuition and distance have significant impact on students' matriculation decisions.
Subject (authority = RUETD)
Topic
Economics
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_8317
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (ix, 122 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Hurrican Katrina, 2005
Subject (authority = ETD-LCSH)
Topic
Fertility, Human
Subject (authority = ETD-LCSH)
Topic
Education--China
Note (type = statement of responsibility)
by Han Liu
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3R49TW9
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
FamilyName
Liu
GivenName
Han
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-08-30 14:41:02
AssociatedEntity
Name
Han Liu
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
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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