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The effect of school spending on student achievement: addressing biases in value-added models
by
Rabe, Birgitta
, Nicoletti, Cheti
in
Academic achievement
/ Bias
/ Children
/ Econometrics
/ Economic models
/ Education expenses
/ Education production function
/ Educational attainment
/ Error analysis
/ Estimation
/ Expenditures
/ Families & family life
/ Family school relationship
/ Learning outcomes
/ Measurement
/ Measurement errors
/ School finance
/ School quality
/ Schools
/ Scores
/ Skills
/ Test scores
2018
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The effect of school spending on student achievement: addressing biases in value-added models
by
Rabe, Birgitta
, Nicoletti, Cheti
in
Academic achievement
/ Bias
/ Children
/ Econometrics
/ Economic models
/ Education expenses
/ Education production function
/ Educational attainment
/ Error analysis
/ Estimation
/ Expenditures
/ Families & family life
/ Family school relationship
/ Learning outcomes
/ Measurement
/ Measurement errors
/ School finance
/ School quality
/ Schools
/ Scores
/ Skills
/ Test scores
2018
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Do you wish to request the book?
The effect of school spending on student achievement: addressing biases in value-added models
by
Rabe, Birgitta
, Nicoletti, Cheti
in
Academic achievement
/ Bias
/ Children
/ Econometrics
/ Economic models
/ Education expenses
/ Education production function
/ Educational attainment
/ Error analysis
/ Estimation
/ Expenditures
/ Families & family life
/ Family school relationship
/ Learning outcomes
/ Measurement
/ Measurement errors
/ School finance
/ School quality
/ Schools
/ Scores
/ Skills
/ Test scores
2018
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The effect of school spending on student achievement: addressing biases in value-added models
Journal Article
The effect of school spending on student achievement: addressing biases in value-added models
2018
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Overview
The estimation of education production models used to evaluate the effect of school inputs and past skills on test scores, often called value-added models, can be biased by three main econometric issues: unobserved child characteristics, unobserved family and school characteristics and measurement error. We propose a two-step estimation technique which exploits the availability of test scores across time, subjects, families and schools in a unique administrative data set for England to correct for these potential biases. Our empirical results suggest that omitting school characteristics biases the estimation of the effect of school expenditure, whereas omitting unobserved child endowment biases the estimation of the effect of past skills but not the effect of school expenditure.
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