TY - JOUR
T1 - Preferences, selection, and value added
T2 - A structural approach
AU - Akyol, Pelin
AU - Krishna, Kala
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - What do applicants take into consideration when choosing a high school? To what extent do schools contribute to their students' academic success? To answer these questions, we model students' preferences and obtain average valuation placed on each school. We then investigate what drives these valuations by carefully controlling for endogeneity using a set of creative instruments suggested by our model. We find that valuation is based on a school's location, its selectivity as measured by its cutoff score, value added and past performance in university entrance exams. However, cutoffs affect school valuation an order of magnitude more than does value added.
AB - What do applicants take into consideration when choosing a high school? To what extent do schools contribute to their students' academic success? To answer these questions, we model students' preferences and obtain average valuation placed on each school. We then investigate what drives these valuations by carefully controlling for endogeneity using a set of creative instruments suggested by our model. We find that valuation is based on a school's location, its selectivity as measured by its cutoff score, value added and past performance in university entrance exams. However, cutoffs affect school valuation an order of magnitude more than does value added.
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U2 - 10.1016/j.euroecorev.2016.09.009
DO - 10.1016/j.euroecorev.2016.09.009
M3 - Article
AN - SCOPUS:84992123251
VL - 91
SP - 89
EP - 117
JO - European Economic Review
JF - European Economic Review
SN - 0014-2921
ER -