Matteo Bobba

First name
Matteo
Last name
Bobba
Abstract

This paper studies how increasing teacher compensation at hard-to-staff schools can reduce structural inequality in the access to high-quality teachers. We first document dramatic inequities in schooling inputs and teacher quality to which students have access in the context of a large and diverse developing country: Peru. We then leverage a change in teacher compensation to show causal evidence that increasing salaries at less desirable public schools attracts better quality applicants and improves subsequent student test scores. We finally estimate a model of teacher preferences over local community amenities, school characteristics and wages using detailed job posting and application data from the country-wide centralized teacher assignment system. The fitted model is able to replicate the main features in the data, including the sorting patterns of teachers around the policy change in teacher wages. Model estimates indicate that while current pay bonuses in less desirable regions are helpful, the current policy is woefully insufficient to compensate teachers for the lack of school and community amenities, especially in school vacancies that are distant to the teachers’ home town or the location of their current job. Counterfactual experiments taking into account equilibrium sorting show that budget-neutral changes in the current wage schedule can achieve a remarkably more equitable distribution of teacher quality across regions.

Number
648
Date Published
03/2021
Neilson, C., Bobba, M., Ederer, T., Leon-Ciliotta, G., & Nieddu, M. (2021). Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Peru. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01nv935592w (Original work published 03/2021AD)
Working Papers