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ID:
143391
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| Summary/Abstract |
This paper examines the causal effect of private tutoring on Chinese and mathematics test scores of primary school students in urban China. Because the unobserved determinants of schooling achievement often also influence private tutoring expenditure, the OLS estimate cannot provide a consistent estimate. This paper adopts a heteroskedasticity-based identification strategy proposed by Lewbel (2012) to handle this problem. These estimation results show that, on average, private tutoring expenditure has small but statistically significant effect on the mathematics test score of primary school students, but has no statistically significant effect on the Chinese test score. A 1000 yuan increase in private tutoring expenditure (i.e. 54% of a standard deviation) raises the primary school students' mathematics test score by 1.07 percentage point (i.e. 15% of a standard deviation). The instrumental variable quantile regression combining with Lewbel IV suggests that private tutoring is more likely to improve student achievement at the bottom end of test score distribution. When moving upward to the top end, the effect becomes smaller and even negative although not significant.
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| 2 |
ID:
182817
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| Summary/Abstract |
This paper examines the effect of online learning time on graduating students' test scores in a senior high school. Decisions regarding online education, including those related to participation and learning hours, are endogenous due to both reverse causality and omitted variables. This paper is the result of the natural experiment of the outbreak of COVID-19, which made every student to participate in online education when the spring semester began. In addition, this paper uses a value-added model controlling for the scores that preceded online education, which is a sufficient statistic of students' unobserved ability and motivation. If this cannot completely eliminate the endogeneity problem, it should be able to largely alleviate the problem. The results indicate that: online education has positive but limited impacts on test scores on average, particularly those in the subject of math within the natural sciences track; top-tier students are most positively affected by online education; and the benefits of online education vary among students with different backgrounds. The quantile regression suggests that a 10% increase in online education time raises math test scores by more than 0.25 for the students between the 0.60th and 0.80th quantiles. Surprisingly, it is evident that online learning time has a significant negative effect for some students in certain subjects. Finally, online education neither widens nor narrows the inequality of students' test scores.
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