actions that contradict their high quality signals they herd more extensively than predicted by Bayes-rational herding …-Bayesian updating and informational misinferences are the two channels that drive excessive herding, while the strong (resp. mild … observational learning accounts for the phenomenon of excessive herding, it captures well herd behavior with medium quality signals …

We study reputational herding in financial markets in a laboratory experiment. In the spirit of Dasgupta and Prat (2008 …

The paper employs a dynamic market-wide herding behavior measure of 117,166 lending-based campaigns in 119 online … show that herding behavior plays an important signaling role in reducing opportunity costs if the auction does not receive … enough monetary bids. Additionally, our threshold models identify significant herding behavior after funding goals are raised …

withdrew money one month prior to the events. Thedegree of herding among funds is statistically significant, but moderate.Herding …

We consider a monopolist who sells identical objects of common but unknown value in a herding-prone environment. Buyers … monopolist s optimal pricing strategy and its implications for the temporal pattern of prices and for herding. The analysis is … performed under alternative assumptions about observability of prices. We find that when previous prices are observable, herding …

cultural background matter. -- Decision under pressure ; altruism ; social norms ; interdependent preferences ; excess of …

enforced. This paper shows that economic analysis can account for human behavior in such situations. -- Decision under pressure …