Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Social network formation and peer ef...
~
Lam, Chungsang.
Linked to FindBook
Google Book
Amazon
博客來
Social network formation and peer effects: Estimation and policy implications.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Social network formation and peer effects: Estimation and policy implications./
Author:
Lam, Chungsang.
Description:
126 p.
Notes:
Source: Dissertation Abstracts International, Volume: 74-11(E), Section: A.
Contained By:
Dissertation Abstracts International74-11A(E).
Subject:
Economics, General. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3568555
ISBN:
9781303231643
Social network formation and peer effects: Estimation and policy implications.
Lam, Chungsang.
Social network formation and peer effects: Estimation and policy implications.
- 126 p.
Source: Dissertation Abstracts International, Volume: 74-11(E), Section: A.
Thesis (Ph.D.)--The University of Chicago, 2013.
In this dissertation I explicitly model peer network formation and explore different channels through which peer effects influence student achievement. Using unique data from a survey "Secondary Education Survey in Hong Kong" (SESHK), I estimate an econometric model to show how peer connections are formed and to quantify peer effects. I focus on four separate types of peer networks: friends, studymates, emotional supporters, and seatmates. Additionally, students can be affected by their peers through three different channels, namely cognitive abilities, personality traits, and behavioral spillovers.
ISBN: 9781303231643Subjects--Topical Terms:
1017424
Economics, General.
Social network formation and peer effects: Estimation and policy implications.
LDR
:02838nam a2200313 4500
001
1960533
005
20140623111233.5
008
150210s2013 ||||||||||||||||| ||eng d
020
$a
9781303231643
035
$a
(MiAaPQ)AAI3568555
035
$a
AAI3568555
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Lam, Chungsang.
$3
2096217
245
1 0
$a
Social network formation and peer effects: Estimation and policy implications.
300
$a
126 p.
500
$a
Source: Dissertation Abstracts International, Volume: 74-11(E), Section: A.
500
$a
Adviser: James J. Heckman.
502
$a
Thesis (Ph.D.)--The University of Chicago, 2013.
520
$a
In this dissertation I explicitly model peer network formation and explore different channels through which peer effects influence student achievement. Using unique data from a survey "Secondary Education Survey in Hong Kong" (SESHK), I estimate an econometric model to show how peer connections are formed and to quantify peer effects. I focus on four separate types of peer networks: friends, studymates, emotional supporters, and seatmates. Additionally, students can be affected by their peers through three different channels, namely cognitive abilities, personality traits, and behavioral spillovers.
520
$a
I estimate the magnitude of these peer effects on academic performance through all three channels and all four networks. Peer effects are identified through a combination of explicitly modeling peer selection and additional set of instruments available in my data. Empirical results show that friends and studymates are endogenously formed, which lead to overestimation of peer effects in traditional exogenous peer formation models. All investigated peer types show positive peer effects but the effect for seating proximity is relatively weaker. Peers are also found to have significant effects through particular cognitive abilities or personality traits. Smart studymates and conscientious friends positively affect a student's mathematics score, while conscientious studymates and smart friends do not have such an effect. These results show that understanding the formation of different peer types is important in peer effect estimation.
520
$a
Finally, I apply the estimates obtained from the peer effect model in policy analysis. Randomizing peers decreases inequality while tracking increases inequality among students. Restricting a certain proportion of students from social interactions improves students' overall academic performance. The optimal proportion is different for different subjects.
590
$a
School code: 0330.
650
4
$a
Economics, General.
$3
1017424
650
4
$a
Economics, Labor.
$3
1019135
650
4
$a
Education, Policy.
$3
1669130
690
$a
0501
690
$a
0510
690
$a
0458
710
2
$a
The University of Chicago.
$b
Economics.
$3
1672980
773
0
$t
Dissertation Abstracts International
$g
74-11A(E).
790
$a
0330
791
$a
Ph.D.
792
$a
2013
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3568555
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9255361
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login