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|Has title=Sequential Matching of Entrepreneurs to Accelerators and VCs (Academic Paper)Venture Capitalists|Has author=Ed Egan, Jeremy Fox,|Has RAs=Amir KazempourJames Chen,

This paper describes The objective of this project is to create a twomulti-stage matching model and estimates estimate this model using data on entrepreneurs that match to accelerators and (lead) venture capitalists. Once the model is estimated, we can enact various policy-relevant changes and estimate their effects. For example, we could eliminate non-profit accelerators, government-sponsored venture capitalists, or other participants.

See [[Fox (2008) - An Empirical Repeated Matching Game Applied to Market]] for a brief write up on Jeremy's a relevant theory paperby Jeremy

As of now, the goal is to simulate a repeated matching model with dynamically optimizing agents. More specifically, there are two sides for a matching market with transferable utility (for nowgenerically, call these men and womenfor now) with a continuum of agents, but a finite number of types. They participate in matches for T periods and receive utility that is a sum of a structural component (determined solely by their type and the type they are matched with) and a individual taste component (with some known distribution).