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This paper studies the real estate brokerage industry in Greater Boston, an industry with low entry barriers and substantial turnover. Using a comprehensive dataset of agents and transactions from 1998-2007, the authors find that entry does not increase sales probabilities or reduce the time it takes for properties to sell, decreases the market share of experienced agents, and leads to a reduction in average service quality. These empirical patterns motivate an econometric model of the dynamic optimizing behavior of agents that serves as the foundation for simulating counterfactual market structures. A one-half reduction in the commission rate leads to a 73% increase in the number of houses each agent sells and benefits consumers by about $2 billion.
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