Counting rotten apples: Student achievement and score manipulation in Italian elementary Schools

被引：12
|
作者：
Battistin, Erich [1 ,2 ,3 ,4 ]
De Nadai, Michele [5 ]
Vuri, Daniela [4 ,6 ,7 ,8 ]
机构：
[1] Queen Mary Univ London, London, England
[2] CEPR, London, England
[3] IRVAPP, Trento, Italy
[4] IZA, Bonn, Germany
[5] Univ New South Wales, Sydney, NSW, Australia
[6] Univ Roma Tor Vergata, Rome, Italy
[7] CESifo, Munich, Germany
[8] CEIS, Milan, Italy
来源：
JOURNAL OF ECONOMETRICS | 2017年 / 200卷 / 02期
关键词：
Measurement error; Non-parametric bounds; Partial identification; Score manipulation; NONLINEAR MODELS; IDENTIFICATION; OUTCOMES; ERROR; MISCLASSIFICATION; INDEPENDENCE;
D O I：
10.1016/j.jeconom.2017.06.015
中图分类号：
F [经济];
学科分类号：
02 ;
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 its mismeasurement in the data. 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 regional rankings by academic performance are reversed once manipulation is taken into account. (C) 2017 Elsevier B.V. All rights reserved.
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页码：344 / 362
页数：19
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