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Title: Does School Quality Matter and for Whom? Evidence from Quantile Regression Analysis
Resulting in 1 citation.
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Liu, Qing |
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Does School Quality Matter and for Whom? Evidence from Quantile Regression Analysis Presented: Cleveland, OH, Midwest Economics Association Annual Meeting, March 2001 Cohort(s): NLSY79 Publisher: Midwest Economics Association Keyword(s): Current Population Survey (CPS) / CPS-Fertility Supplement; Geocoded Data; Male Sample; Methods/Methodology; School Characteristics/Rating/Safety; School Quality; Schooling; Teachers/Faculty; Wage Determination; Wage Levels Permission to reprint the abstract has not been received from the publisher. This paper employs the quantile regression approach to estimate the wage effects of school quality. Using data from the Geocoded version of the NLSY79, the author has found consistent results with various samples and specifications that teacher degree and salary exert significantly larger effects at higher quantiles of the wage distribution, while the teacher-student ratio seems to favor individuals at lower quantiles. The author addresses the necessity to examine the effects of school quality on the whole wage distribution, rather than on the means, alone. Furthermore, the author argues that a correct question to ask is for whom school quality matters. |
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Bibliography Citation
Liu, Qing. "Does School Quality Matter and for Whom? Evidence from Quantile Regression Analysis." Presented: Cleveland, OH, Midwest Economics Association Annual Meeting, March 2001. |