报告题目:Could Reward Uncertainty Encourage Social Referrals? Evidence from a Large-scale Field Experiment报告人:Rodrigo Belo, Universidade Nova de Lisboa时间:12.13 星期五(15:30 – 17:00)地点:新主楼 A1028讲座系列: 经 济摘要:The integration of uncertainty into referral reward structures by various platforms has opened new avenues for enhancing referral outcomes, a potential yet to be fu...
报告题目:Navigating Fiscal Fog: Household Expectations in an Uncertain Fiscal Environment报告人:郭俊杰,中央财经大学金融学院时间:12.10 星期二(10:00 – 11:30)地点:新主楼 A1140讲座系列: 经 济摘要:Using a novel survey of U.S. households, we study how fiscal policy uncertainty affects household macroeconomic expectations and consumption-saving decisions. We employ randomized information tr...
报告题目:全球产业转移测度、趋势与我国挑战报告人:杨翠红教授时间:12.04 星期三(10:00 – 11:30)地点:新主楼 A618讲座系列: 经济统计摘要:近年来大国博弈、新冠疫情和局部冲突等给全球产业链供应链造成了不同程度冲击,现有的全球生产网络格局面临新的挑战,产业转移基本面发生了较大变化,全球产业链供应链和价值链正加速重构。报告拟从当前产业转移的一些典型事实说起,介绍基于全球投入产出框架下的产业转移测度方...
报告题目:Carpe diem as danger nearby: How does individuals’ spending change in response to the COVID-19 pandemic risk?报告人:张永杰,天津大学管理与经济学部,教授、博士生导师时间:12.03星期二(17:30 – 18:30)地点:新主楼 A618讲座系列: 融 实摘要:This study investigates how individuals spending change in response to health risk. By analyzing a comprehensive sample of bank-account data, we e...
报告题目:Leveraging LLMs for Fashion Shopping Recommendations报告人:潘琛,美国亚马逊时间:12.02星期一(10:00 – 11:30)地点:新主楼 A1028讲座系列: 至信论坛摘要:本次讲座将围绕时尚推荐中的大语言模型应用展开,探讨如何利用人工智能技术提升用户购物体验。内容包括:大语言模型(LLM)在时尚领域的关键应用,如个性化推荐、潮流预测、智能购物助手和内容生成;LLM如何通过理解用户偏好和实时数据,为时尚零售提...