We theoretically and experimentally study a college admissions problem in which colleges accept students by ranking students' efforts in entrance exams. Students hold private information regarding their ability level that affects the cost of their efforts. We assume that student preferences are...

We study a college admissions problem in which colleges accept students by ranking students’ efforts in entrance exams. Students’ ability levels affect the cost of their efforts. We solve and compare the equilibria of “centralized college admissions” (CCA) where students apply to all...

We study a college admissions problem in which colleges accept students by ranking students' efforts in entrance exams. Students' ability levels affect the cost of their efforts. We solve and compare equilibria of "centralized college admissions" (CCA) where students apply to all colleges and...

We report on experiments to replicate Plott and Zeiler's (2005) findings that the WTP-WTA gap disappears when using procedures that are aimed at reducing misunderstandings, such as training rounds for the BDM mechanism. Following the design by Plott and Zeiler (2005) and Isoni, Loomes, and...

The paper surveys the experimental literature on matching markets. It covers house allocation, school choice, and two-sided matching markets such as college admissions. The main focus of the survey is on truth-telling and strategic manipulations by the agents, on the stability and efficiency of...

The paper surveys the experimental literature on matching markets. It covers house allocation, school choice, and two-sided matching markets such as college admissions. The main focus of the survey is on truth-telling and strategic manipulations by the agents, on the stability and efficiency of...

Every year during school and college admissions, students and their parents devote considerable time and effort to acquiring costly information about their own preferences. In a market where students are ranked by universities based on exam scores, we explore ways to reduce wasteful information...