What you see is what you get : a partial identification approach to school choice
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Date
2021
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Abstract
Using a robust method of discrete choice analysis proposed by Barseghyan (2021), I estimate
parents’ preferences in the context of school choice. To account for information costs, I develop a
model where parents only know about a subset of all available schools. Choice sets are unobservable
and can have different sizes. I partially identify my model using Pre-K applications from Chile’s
new centralized school admissions system. My results suggest that current assumptions on the
observability of agents’ choice sets are too strong. However, the estimation method I use lacks
computational tractability, so the challenge of finding an alternative approach to estimate parents’
preferences in contexts of incomplete information remains.
Description
Tesis (Magíster en Economía)--Pontificia Universidad Católica de Chile, 2021