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This paper examines how schools choose class size and how households sort in response to those choices. Focusing on the highly liberalized Chilean education market, we develop a model in which schools are heterogeneous in an underlying productivity parameter, class size is a component of school quality, households are heterogeneous in income and hence willingness to pay for school quality, and schools are subject to a class-size cap. The model offers an explanation for two distinct empirical patterns observed among private schools that accept government vouchers: (i) There is an inverted-U relationship between class size and household income in equilibrium, which will tend to bias cross-sectional estimates of the effect of class size on student performance. (ii) Some schools at the class size cap adjust prices (or enrollments) to avoid adding another classroom, which produces stacking at enrollments that are multiples of the class size cap. This generates discontinuities in the relationship between enrollment and household characteristics at those points, violating the assumptions underlying regression-discontinuity (RD) research designs. This result suggests that caution is warranted in applying the RD approach in settings in which parents have substantial school choice and schools are free to set prices and influence their enrollments.
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The impact of competition on academic outcomes is likely to depend on whether parents are informed about schools' effectiveness or valued added (which may or may not be correlated with absolute measures of their quality), and on whether this information influences their school choices, thereby affecting schools' market outcomes. To explore these issues, this paper considers Chile's SNED program, which seeks to identify effective schools, selecting them from within "homogeneous groups" of arguably comparable institutions. Its results are widely disseminated, and the information it generates is quite different from that conveyed by a simple test-based ranking of schools (which in Chile, turns out to largely resemble a ranking based on socioeconomic status). We rely on a sharp regression discontinuity to estimate the effect that being identified as a SNED winner has on schools' enrollment, tuition levels, and socioeconomic composition. Through five applications of the program, we find no consistent evidence that winning a SNED award affects these outcomes. This suggests that information on school effectiveness -- at least as it is calculated and delivered by the SNED -- might not much affect school markets.
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