Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Peru

We exploit data on the universe of public-school teachers and students in Per ́u to establish that wage rigidity makes teachers choose schools based on non-pecuniary factors, magnifying the existing urban-rural gap in student achievement. Leveraging a reform in the teacher compensation structure, we provide causal evidence that increasing salaries in less desirable locations is effective at improving student learning by attracting higher-quality teachers. We then build and estimate a model of teacher sorting across schools and student achievement production, whereby teachers are heterogeneous in their preferences over non-wage attributes and their comparative advantages in teaching different student types. Counterfactual compensation policies that leverage information about teachers’ preferences and value-added can result in a substantially more efficient and equitable allocation by inducing teachers to sort based on their comparative advantage.

Publication Details

Journal
Stanford Digital Repository
Published
2024-11-26
DOI
https://doi.org/10.25740/wz353mt9763
Citations
1
Primary Topic
School Choice and Performance
Type
article
Field-Weighted Citation Impact
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article

Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Peru

1 citations
Stanford Digital Repository
School Choice and Performance
article

Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Peru

article en
1 citations

Abstract

We exploit data on the universe of public-school teachers and students in Per ́u to establish that wage rigidity makes teachers choose schools based on non-pecuniary factors, magnifying the existing urban-rural gap in student achievement. Leveraging a reform in the teacher compensation structure, we provide causal evidence that increasing salaries in less desirable locations is effective at improving student learning by attracting higher-quality teachers. We then build and estimate a model of teacher sorting across schools and student achievement production, whereby teachers are heterogeneous in their preferences over non-wage attributes and their comparative advantages in teaching different student types. Counterfactual compensation policies that leverage information about teachers’ preferences and value-added can result in a substantially more efficient and equitable allocation by inducing teachers to sort based on their comparative advantage.

Stanford Digital Repository
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School Choice and Performance
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