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Home | Events Archive | Teacher Compensation and Structural Inequality: Evidence from Centralized Teacher School Choice in Peru

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

  • Series
    Labor Seminars
  • Speaker(s)
    Christopher Neilson (Princeton University, United States)
  • Field
    Empirical Microeconomics
  • Location
    Tinbergen Institute Amsterdam, Moscow room
  • Date and time

    April 05, 2022
    15:30 - 16:30

This paper studies how increasing teacher compensation at hard-to-staff schools can reduce 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 Peru, a large and culturally diverse developing country. 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. Joint paper with Matteo Bobba, Tim Ederer, Gianmarco Leon and Marco Nieddu.

Read full paper here.