Teacher transfers and the disruption of Teacher Staffing in the City of Sao Paulo
Date issued
Feb 2023
Subject
Educational Institution;
Teacher Salary;
Teacher;
Test Score;
Teacher Distribution;
Education;
Labor Force;
Teacher Selection;
Monetary Incentive
JEL code
I21 - Analysis of Education;
I24 - Education and Inequality;
I25 - Education and Economic Development;
I28 - Government Policy
Country
Brazil
Category
Working Papers
This paper analyzes preferences for certain school attributes among in-service teachers. We explore a centralized matching process in the city of Sao Paulo that teachers must use when transferring schools. Because teachers have to list and rank their preferences for schools, we can estimate the desirability of school attributes using a rank-ordered logit model. We show that the schools distance from the teachers home, school average test scores, and teacher composition play a central role in teacher preferences. Furthermore, we show that preferences vary according to teacher characteristics, such as gender, race, age, and academic subject.
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