G2TT
来源类型Discussion paper
规范类型论文
来源IDDP11667
DP11667 Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools
Erich Battistin; Michele De Nadai; Daniela Vuri
发表日期2016-11-25
出版年2016
语种英语
摘要We derive bounds on the distribution of math and language scores of elementary school students in Italy correcting for pervasive manipulation. A natural experiment that randomly assigns external monitors to schools is used to deal with endogeneity of manipulation as well as possible misclassification of the manipulation status. Bounds are obtained from properties of the statistical model used to detect classes with manipulated scores, and from restrictions on the relationship between manipulation and true scores. Our results show that score distributions are heavily affected by manipulating behavior, with regional rankings by academic performance being reversed once manipulation is taken into account.
主题Labour Economics ; Public Economics
关键词Measurement error Non-parametric bounds Partial identification Score manipulation
URLhttps://cepr.org/publications/dp11667
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/540481
推荐引用方式
GB/T 7714
Erich Battistin,Michele De Nadai,Daniela Vuri. DP11667 Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools. 2016.
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