Peer effects and measurement error: the impact of sampling variation in school survey data
AbstractInvestigation 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 biased towards zero under OLS model fitting. We investigate the problem using survey data for England from the Programme for International Student Assessment (PISA) linked to administrative microdata recording information for each PISA sample member's entire year cohort. We calculate a peer group measure based on these complete data and compare its use with a variable based on peers in just the PISA sample. The estimated attenuation bias in peer effect estimates based on the PISA data alone is substantial.
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Bibliographic InfoPaper provided by Department of Quantitative Social Science - Institute of Education, University of London in its series DoQSS Working Papers with number 10-13.
Length: 18 pages
Date of creation: 30 Jun 2010
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More information through EDIRC
peer effects; measurement error; school surveys; sampling variation;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-10 (All new papers)
- NEP-ECM-2010-07-10 (Econometrics)
- NEP-EDU-2010-07-10 (Education)
- NEP-LAB-2010-07-10 (Labour Economics)
- NEP-URE-2010-07-10 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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