Marek Pycia, University of Zurich

"Evaluating with Statistics: Which Outcome Measures Differentiate Among Matching Mechanisms?"

Abstract

The selection of mechanisms to allocate school seats in public school districts can be highly contentious. At the same time the standard statistics of student outcomes calculated from districts’ data are very similar for many mechanisms. This paper contributes to the debate on mechanism selection by explaining the similarity puzzle as being driven by the invariance properties of the standard outcome statistics: outcome measures are approximately similar if and only if they are approximately anonymous.

Contact person: Peter Norman Sørensen