In a free market economy, price is the most popular mechanism for allocating goods and services. However, many of us will find it repugnant or unethical to put for sale human organs for transplantation or public-school seats. Such resources are rather efficiently allocated by matching them to participants’ preferences via a centralized matching system. One of the challenges of the designer is to elicit the true preferences from participants and at the same time prevent participants from gaming the system. Gaming would undermine confidences of this type of market solution.
Unfortunately, in some highly publicized cases, it has proved possible to game matching systems. Usually, gaming benefit participants who have sufficient information and understanding about the allocation system to take advantage of. Despite efforts to construct ‘tamper-proof’ mechanisms to restrict opportunities for gaming and unfair advantage, it’s become clear that most mechanisms can still be manipulated under certain circumstances and to varying degrees. It has been, for example, observed in school choice design. For various reasons, admissions authorities limit the number of schools that each student may list, thus putting constraints on rankings. Ranking constraints introduces an opportunity for gaming. Over time, authorities tend to adopt more flexible rankings system in which students can rank more schools. The goal of this project was to study the relationship between gaming (manipulation) and flexible rankings as well as its fairness implication.