國立虎尾科技大學 |

Peer Effects : = Evidence from the Students in Taiwan.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Peer Effects :/
Reminder of title:	Evidence from the Students in Taiwan.
Author:	Wu, Shin-Yi.
Description:	1 online resource (194 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.
Subject:	Economics. -
Online resource:	click for full text (PQDT)
ISBN:	9780355487541

Peer Effects : = Evidence from the Students in Taiwan.
Wu, Shin-Yi.

Peer Effects :Evidence from the Students in Taiwan. - 1 online resource (194 pages)

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.

Thesis (Ph.D.)--The Ohio State University, 2017.

Includes bibliographical references

Since most of the recent research does not consider time lag dependent variables when analyzing peer effects, the estimation of peer effects might be biased. Moreover, whether or not peer effects are persistent is also an issue. The Panel Study of Taipei Youths (PSTY) provides a great opportunity to investigate these issues. I use pooled spatial autoregressive (SAR) models, including time fixed effects, time lag dependent variables and spatial time lag weights matrices to estimate peer effects more precisely. I find that peer effects are not persistent in the sense that students' friendships from previous period do not influence their current behaviors. Furthermore, peer effects might be overestimated without controlling for time lag dependent variables and time fixed effects. Robustness check is verified by the analysis of four specifications and two samples different in sizes. Separate estimation results for each wave from SAR models suggest that peer effects become stronger over time. Empirical evidence also shows that the source of peer effects comes from the change in students' utilities over time by eliminating two other alternatives, which are students sorting more over time and the existence of the lasting effects of students' previous friendships.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355487541Subjects--Topical Terms:

555568
Economics.
Index Terms--Genre/Form:

554714
Electronic books.

Peer Effects : = Evidence from the Students in Taiwan.
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245 1 0 $a Peer Effects : $b Evidence from the Students in Taiwan.
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300 $a 1 online resource (194 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.
500 $a Adviser: Lung-Fei Lee.
502 $a Thesis (Ph.D.)--The Ohio State University, 2017.
504 $a Includes bibliographical references
520 $a Since most of the recent research does not consider time lag dependent variables when analyzing peer effects, the estimation of peer effects might be biased. Moreover, whether or not peer effects are persistent is also an issue. The Panel Study of Taipei Youths (PSTY) provides a great opportunity to investigate these issues. I use pooled spatial autoregressive (SAR) models, including time fixed effects, time lag dependent variables and spatial time lag weights matrices to estimate peer effects more precisely. I find that peer effects are not persistent in the sense that students' friendships from previous period do not influence their current behaviors. Furthermore, peer effects might be overestimated without controlling for time lag dependent variables and time fixed effects. Robustness check is verified by the analysis of four specifications and two samples different in sizes. Separate estimation results for each wave from SAR models suggest that peer effects become stronger over time. Empirical evidence also shows that the source of peer effects comes from the change in students' utilities over time by eliminating two other alternatives, which are students sorting more over time and the existence of the lasting effects of students' previous friendships.
520 $a Luminous Shine and Dark Shadow (LSDS) provides rich information regarding the types of friendship and high frequency friendship network survey data. Such unique feature allows me to investigate peer effects among different types of friendship and the trends of them over time. Results show that the major source of peer effects on students' academic performance is from students' academic friends who are also among their best three friends, with the strongest magnitude among all types of friendship. A non-academic friend of one student does not have effects even if he is one of the student's best three friends. Degree of peer effects starts to increase from 7th to 9th grade but remain constant from 11th to 12th grade. The trend of peer effects of the best three friends fluctuates more than that of academic friends.
520 $a I continue to focus on the network formation. Empirical evidence of PSTY suggests that one student's friendship formation is significantly influenced by his previous friendship, popularity and religion. Robustness is checked from estimation results by implementing logistic model and fixed effects logistic model on cross-sectional and panel data. The estimation results of LSDS through a multinomial logistic model show that students will like, hate or like and hate simultaneously those classmates they liked, hated or liked and hated simultaneously last period rather than ignore them this period. This implies that the worst thing is to be unknown (not friend) among classmates if a student prefers to make as many good friends as he can.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Economics. $3 555568
650 4 $a Asian studies. $3 1179577
655 7 $a Electronic books. $2 local $3 554714
690 $a 0501
690 $a 0342
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The Ohio State University. $b Economics. $3 1180874
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