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Understanding peer effects
by
Zölitz, Ulf
, Feld, Jan
in
Academic achievement gaps
/ Assignment
/ Auswahlverfahren
/ Classroom communication
/ College students
/ E-Learning
/ Estimation bias
/ Gemeinschaft
/ Group dynamics
/ Gruppendynamik
/ Hochschulbildung
/ Learning environment
/ Leistungsbeurteilung
/ Lernen
/ Lernerfolg
/ Measurement
/ Measurement errors
/ Niederlande
/ Peer Group
/ Peer groups
/ Peers
/ Quantitative psychology
/ Soziale Gruppe
/ Soziale Identität
/ Sozialer Wert
/ Soziales System
/ Student
/ Student behavior
/ Students
/ Studienerfolg
/ Studies
/ Teachers
/ Test
/ Wirkungsforschung
2017
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Understanding peer effects
by
Zölitz, Ulf
, Feld, Jan
in
Academic achievement gaps
/ Assignment
/ Auswahlverfahren
/ Classroom communication
/ College students
/ E-Learning
/ Estimation bias
/ Gemeinschaft
/ Group dynamics
/ Gruppendynamik
/ Hochschulbildung
/ Learning environment
/ Leistungsbeurteilung
/ Lernen
/ Lernerfolg
/ Measurement
/ Measurement errors
/ Niederlande
/ Peer Group
/ Peer groups
/ Peers
/ Quantitative psychology
/ Soziale Gruppe
/ Soziale Identität
/ Sozialer Wert
/ Soziales System
/ Student
/ Student behavior
/ Students
/ Studienerfolg
/ Studies
/ Teachers
/ Test
/ Wirkungsforschung
2017
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Do you wish to request the book?
Understanding peer effects
by
Zölitz, Ulf
, Feld, Jan
in
Academic achievement gaps
/ Assignment
/ Auswahlverfahren
/ Classroom communication
/ College students
/ E-Learning
/ Estimation bias
/ Gemeinschaft
/ Group dynamics
/ Gruppendynamik
/ Hochschulbildung
/ Learning environment
/ Leistungsbeurteilung
/ Lernen
/ Lernerfolg
/ Measurement
/ Measurement errors
/ Niederlande
/ Peer Group
/ Peer groups
/ Peers
/ Quantitative psychology
/ Soziale Gruppe
/ Soziale Identität
/ Sozialer Wert
/ Soziales System
/ Student
/ Student behavior
/ Students
/ Studienerfolg
/ Studies
/ Teachers
/ Test
/ Wirkungsforschung
2017
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Journal Article
Understanding peer effects
2017
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Overview
This paper estimates peer effects in a university context where students are randomly assigned to sections. While students benefit from better peers on average, low-achieving students are harmed by high-achieving peers. Analyzing students’ course evaluations suggests that peer effects are driven by improved group interaction rather than adjustments in teachers’ behavior or students’ effort. Building on Angrist’s research, we further show that classical measurement error in a setting where group assignment is systematic can lead to a substantial overestimation of peer effects. However, when group assignment is random—like in our setting—peer effect estimates are biased toward zero.
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