Estimating the Extreme Behaviors of Students Performance Using Quantile Regression--Evidences from Taiwan

Autor/inn/en	Chen, Sheng-Tung; Kuo, Hsiao-I.; Chen, Chi-Chung
Titel	Estimating the Extreme Behaviors of Students Performance Using Quantile Regression--Evidences from Taiwan
Quelle	In: Education Economics, 20 (2012) 1, S.93-113 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0964-5292
DOI	10.1080/09645292.2010.545517
Schlagwörter	Foreign Countries; Least Squares Statistics; Regression (Statistics); Parent Background; Family Characteristics; Academic Achievement; Minimum Competency Testing; Scores; Rural Urban Differences; Access to Education; Taiwan + Suchen Sie Ihr Suchwort? Ausland; Regression; Regressionsanalyse; Elternhaus; Schulleistung; Stadt-Land-Beziehung; Education; Access; Bildung; Zugang; Bildungszugang
Abstract	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.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10