We calculate equilibria of dynamic double-auction markets in which agents are distinguished by their preferences and information. Over time, agents are privately informed by bids and offers. Investors are segmented into groups that differ with respect to characteristics determining information...

We develop a theoretical model to study the effects of libertarian paternalism on knowledge acquisition and social learning. Individuals in our model are permitted to appreciate and use the information content in the default options set by the government. We show that in some settings...

We develop a theoretical model to study the welfare effects of libertarian paternalism on information acquisition, social learning, and financial decision-making. Individuals in our model are permitted to appreciate and use the information content in the default options set by a social planner....

We study the psychological bias underlying the decision to become an entrepreneur in the online business context. Using entrepreneurs affiliated with Taobao Marketplace, the world’s largest online shopping platform, as our sample, we find that people who observe the emergence of successful...

Investor sophistication has lagged behind the growing complexity of retail financial markets. To explore this, we develop a dynamic model to study the interaction between obfuscation and investor sophistication. Taking into account different learning mechanisms within the investor population, we...

We construct a neural network algorithm that generates price predictions for art at auction, relying on both visual and non-visual object characteristics. We find that higher automated valuations relative to auction house pre-sale estimates are associated with substantially higher...