NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ949838
Record Type: Journal
Publication Date: 2012
Pages: 21
Abstractor: As Provided
Reference Count: 21
ISSN: ISSN-0964-5292
Estimating the Extreme Behaviors of Students Performance Using Quantile Regression--Evidences from Taiwan
Chen, Sheng-Tung; Kuo, Hsiao-I.; Chen, Chi-Chung
Education Economics, v20 n1 p93-113 2012
The two-stage least squares approach together with quantile regression analysis is adopted here to estimate the educational production function. Such a methodology is able to capture the extreme behaviors of the two tails of students' performance and the estimation outcomes have important policy implications. Our empirical study is applied to the case of students' scores in the Basic Competence Test in Taiwan. The empirical estimation outcomes between traditional OLS and quantile regression on peer-group effects, school characteristics, and family characteristics are diverse and depend on students' ability. Such findings have important implications for parents as well as for government. (Contains 6 tables and 1 figure.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Junior High Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Taiwan