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In this study, I identify academic entrepreneurs using biographical information on start-up founders contained in a comprehensive venture capital database. Multivariate analyses are conducted to investigate why some US universities generate more venture-backed academic entrepreneurs than others. I find that national academy membership and total faculty awards are the most significant variables in explaining the number of venture-backed entrepreneurs from a university. In contrast, the abundance of venture capital near the university has no significant effect, which is surprising given that this study focuses exclusively on venture-backed entrepreneurs.

Using dimes and pennies on a checkerboard, Schelling (1971, 1978) studied the link between residential preferences and segregational neighborhood patterns. While his approach clearly has methodological advantages in studying the dynamics of residential segregation, Schelling's checkerboard model has never been rigorously analyzed. We propose an extension of the Schelling model that incorporates economic variables. Using techniques recently developed in stochastic evolutionary game theory, we mathematically characterize the model's long-term dynamics.