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Advanced Economic Seminars 306: Price-based Demand Response-A Deep Learning Approach

Topic: Price-based Demand Response-A Deep Learning ApproachLecturer: Prof. Dirk Neumann, Dean of the School of Economics at Albert-Ludwigs-Universität FreiburgTime: 10:00-11:30 a.m. May 24th, 2023Venue: B321 Zhixin Building, Central CampusAbstract: This paper presents a novel Demand Response (DR) program to mitigate grid congestion. The program stands out by adjusting electricity prices online ...
2023-05-18
Advanced Economic Seminars 305: Can Digital Technology Improve Crowd Congestion Management in Public Transit? The Eff...

Topic: Can Digital Technology Improve Crowd Congestion Management in Public Transit ? The Effect of Mobile Subway Passes on Subway Commuting TimeLecturer: Associate Prof. Weizeng Sun, School of Economics, Central University of Finance and EconomicsTime: 9:00-10:30 a.m. May 15th, 2023Venue: B423 Zhixin Building, Central CampusAbstract:We investigate the impact of mobile subway passes on subway c...
2023-05-10
Advanced Economic Seminars 304:Pick-an-Object Mechanisms

Topic: Pick-an-Object Mechanisms Lecturer: Associate Prof. Inacio Bo, Southwestern University of Finance and EconomicsTime: 14:30-16:00 p.m. May 10th, 2023 (Wed.)Venue: Zhixin Building B336, Central CampusAbstract:We have introduced a new series of mechanisms for the unilateral matching market, known as the "Select Objects" (PAO) mechanism. When implementing allocation rules through PAO, agents...
2023-05-05
Advanced Economic Seminars 303: Reputation Building on Online Platforms：Evidence from Twitch

Topic: Reputation Building on Online Platforms：Evidence from TwitchLecturer: Prof. Qihong LIU, Oklahoma State UniversityTime: 09:00-10:00 p.m. May 8th, 2023 (Mon.)Venue: VooV Meeting 583-694-357 Password:0508Abstract: Despite the popularity of online video platforms (e.g.,YouTube, Instagram live, and Twitch), becoming a succ-essful content creator is more challenging because of the...
2023-05-05
Advanced Economic Seminars 302: Predicting Corporate Bond Returns:Merton Meets Machine Learning

Topic: Predicting Corporate Bond Returns:Merton Meets Machine LearningLecturer: Prof. Fuwei JIANG, Central University of Finance and EconomicsTime: 14:30-16:00 p.m. May 5th, 2023 (Fri.)Venue: B423, Zhixin Building, Central CampusAbstract: We investigate the return predictability of corporatebonds using big data and machine learning. We find thatmachine learning models substantially improve the ...
2023-05-05
Advanced Economic Seminars 301: Rationalizable Stability in Matching with One-SidedIncomplete Information

Topic: Rationalizable Stability in Matching with One-SidedIncomplete InformationLecturer: Assitant Prof. Ziwei WANG, Wuhan UniversityTime: 14:00-15:30 p.m. April 21st, 2023 (Fri.)Venue: B336, Zhixin Building, Central CampusAbstract: This paper proposes a new notion of stability to studymatching markets with one-sided incomplete information.A key contribution is to formulate a proper definition ...
2023-04-21

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