Data and Code for: "Dynamic Inconsistency in Risky Choice: Evidence from the Lab and Field"

We document a robust dynamic inconsistency in risky choice. Using a unique brokerage dataset and a series of experiments, we compare people’s initial risk-taking plans to their subsequent decisions. Across settings, people accept risk as part of a “loss-exit” strategy --- planning to continue taking risk after gains and stopping after losses. Actual behavior deviates from initial strategies by cutting gains early and chasing losses. More people accept risk when offered a commitment to their initial strategy. Our results help reconcile seemingly contradictory findings on risk-taking in static versus dynamic contexts. We explore implications for theory and welfare.