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Year of publication
Subject
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Peer effects 2 measurement error 2 sampling variation 2 school surveys 2 Measurement error 1 PISA 1 Sampling variation 1 School surveys 1 peer effects 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 2 English 1
Author
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Micklewright, John 3 Schnepf, Sylke V. 3 Silva, Pedro N. 3
Institution
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Department of Quantitative Social Science, Institute of Education 2
Published in...
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DoQSS Working Papers 2 Economics of Education Review 1
Source
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RePEc 3
Showing 1 - 3 of 3
Cover Image
The impact of sampling variation on peer measures: a comment on a proposal to adjust estimates for measurement error
Silva, Pedro N.; Micklewright, John; Schnepf, Sylke V. - Department of Quantitative Social Science, Institute of … - 2012
Investigation of peer effects on pupil’s achievement with survey data on samples of schools and pupils within schools may mean that only a random sample of peers is observed for each individual pupil. This generates classical measurement error on peer variables. Hence under OLS model...
Persistent link: https://www.econbiz.de/10011132472
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Cover Image
Peer effects and measurement error: the impact of sampling variation in school survey data
Micklewright, John; Schnepf, Sylke V.; Silva, Pedro N. - Department of Quantitative Social Science, Institute of … - 2010
Investigation of peer effects on achievement with sample survey data on schools may mean that only a random sample of peers is observed for each individual. This generates classical measurement error in peer variables, resulting in the estimated peer group effects in a regression model being...
Persistent link: https://www.econbiz.de/10008542900
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Cover Image
Peer effects and measurement error: The impact of sampling variation in school survey data (evidence from PISA)
Micklewright, John; Schnepf, Sylke V.; Silva, Pedro N. - In: Economics of Education Review 31 (2012) 6, pp. 1136-1142
Investigation of peer effects on achievement with sample survey data on schools may mean that only a random sample of the population of peers is observed for each individual. This generates measurement error in peer variables similar in form to the textbook case of errors-in-variables, resulting...
Persistent link: https://www.econbiz.de/10010594733
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