OPTIMAL STOPPING IN A DYNAMIC SALIENCE MODEL
研究了显著性理论下的动态风险选择，推导了显著思维者的赌博决策和策略选择，并通过实验验证了所有预测，发现静态与动态选择高度相关，有助于理解资产出售、停止赌博、进入就业市场或退休等行为。
Abstract We study dynamic choice under risk through the lens of salience theory. We derive predictions on salient thinkers' gambling decisions and strategy choices. We test our model experimentally and find support for all of our predictions. We also detect a strong correlation between static and dynamic choices, suggesting that salience theory can coherently explain risky choice in both static and dynamic contexts. Our results help to understand when people sell assets, stop gambling, enter the job market, or retire.