<p>Collegehelp:</p>
<p>
</p>
<p>There is a big distinction between claiming that the study incorporates matriculation decisions which is true and making it a survey of cross-admit results which it is NOT. The Revelead Preference Study is a MODEL based on some very questionnable assumptions. </p>
<p>An actual cross-admit survey is what has been attempted on CC where a number of students report the actual schools they were admitted to and where they matriculated. Despite its clear selection bias, that is a cross-admit survey. You only base the cross-admit battles on head to head results.</p>
<p>The Revealed Preferences Survey, provides HYPOTHETICAL matchups between colleges based on its model without in many cases any ACTUAL matchups. Let’s face it, only 17 schools even have more than 50 matriculants in the database., many far less. How could ever derive any meaningful results from such a limited set. The authors themselves agree that the predictive value of their model is very limited based on the very small data sample. </p>
<p>They use a highly questionnable “Swiss system” ranking for colleges based on sparse data. There is no evidence to support the assertion that such Swiss ranking model designed for ranking chess players is applicable to college choices which are far more complex. </p>
<p>
</p>
<p>As an example, your claim that Cornell beats Duke in cross admits is not based on tallying actual cross-admits between the two schools. There may actually be none in the database. Rather, they will look at finding some common college against which both schools have cross-admits and see who loses more or less against that third college. So, for instance if Cornell does better against Columbia than Duke, it is inferred that Cornell would beat Duke which may be completely false based on actual cross-admits. Cornell may do well against Columbia because it is close geographic proximity or because it has a stronger engineering program than Columbia, factors that would weigh differently in a Cornell, Duke matchup. The transitivity assumption, (A beats B, B beats C and therefore A beats C) may have some validity in sports but is highly dubious with college rankings especially between schools with very different programs. </p>
<p>My point is that constantly referring to the Avery/Hoxby study as some objective measure of cross-admits is highly misleading. The study itself makes no such claims. It is a model, that’s all.</p>