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It's true that I don't read in detail complex studies that I think are flawed conceptually from the outset. So I could be wrong. I doubt it though.</p>
<p>IF you're telling me that the study did mark down comparable schools that weren't applied to I might look. Frankly I doubt this would have been done in a way I would find satisfying.</p>
<p>Considering excluding a school "for noise" is not the same as inserting a datum indicating it is less desirable than others to the non-applicant, and weighting this datum in the results.</p>
<p>I'm sure they tried to address their shortcomings in some fashion, but I doubt that they did it in a way I would agree with.</p>
<p>I recall glancing at the results, and seeing some school like Notre dame unrealistically high IMO. The reason this would have occured in such a study jumped out at me, and after that frankly I had no interest in looking further.</p>
<p>THe "non-revealed preferences" via non-application are more significant, and not always the same as, the revealed ones IMO.</p>
<p>The sample, pools of applicants, is a biased sample and does not prefectly represent the opinions of the underlying population which includes non-applicants.
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<p>Guys, come on. I have to agree with afan here when I say that you guys need to ** read the paper **. Again, all of these objections that you have raised were all dealt with in the paper, particularly in Section III, and particularly in equations 3-6 with the construction of the multinomial vector. </p>
<p>Please, if you have a methodological objection, then let's hear it. However, it seems to me that the authors of the paper are using well-established and reasonable modeling assumptions and techniques that are within the mainstream of economic modeling methodologies.</p>