北大经院工作坊第648场
Driving the Drivers: Algorithmic Wage-Setting in Ride-Hailing
国际经济学与实证产业组织工作坊
主讲人：陈彦佑（多伦多大学助理教授）
主持老师：（北大经院）莫家伟
参与老师：
（北大经院）杨汝岱、田巍、刘政文、吴群锋、李伦
（北大新结构）王歆、徐铭梽
时间：2023年5月17日（周三）10：00-11：30
形式：ZOOM会议
会议号：967 3026 7190
主讲人简介：
Yanyou Chen is an Assistant Professor of Economics at the University of Toronto. He holds a Ph.D. in economics from Duke University and specializes in empirical industrial organization. His work has been published in top-tier academic journals such as the Journal of Industrial Economics and Macroeconomic Dynamics.
摘要：
Firms can now use algorithms to regulate workers’ time and activities more stringently than ever before. Using rich transaction data from a ride-hailing company in Asia, we document algorithmic wage-setting and study its impact on worker behavior. The algorithm profiles drivers based on their working schedules. Our data show that drivers favored by the algorithm earn 8% more hourly than non-favored drivers. To quantify the welfare effects of such preferential algorithms, we construct and estimate a twosided market model with time-varying demand and dynamic labor supply decisions. Results show that removing the preferential algorithm would, in the short term, reduce platform revenues by 12% and total surplus by 7%. In the long run, raising rider fares re-balances demand and supply, resulting in minimal welfare loss. Without the preferential algorithm, an additional 10% of drivers would switch to flexible schedules. Lastly, young, male, local drivers benefit more from the non-preferential algorithm.
北大经院工作坊第649场
The 2022 China Report of the Lancet Countdown on Health and Climate Change: Leveraging Climate Actions for Healthy Ageing
“经院-全健院”
健康与劳动经济学工作坊
主讲人：张弛（北京理工大学管理与经济学院教授）
主持老师：潘聿航（北京大学经济学院助理教授）
参与老师：
（北大经院）秦雪征、石菊、姚奕、王耀璟、Kevin Devereux、梁远宁、庄晨
（北大全健院）刘国恩、孙宇、潘聿航、吕蓓妮、林昊翔
时间：2023年5月17日（周三）10：00-11：30
线下地点：北京大学科技园4层403室
线上形式：ZOOM会议
会议号：756 016 3457
密码：221221
主讲人简介：
Chi Zhang is a Professor of the School of Management and Economics at Beijing Institute of Technology. She received her Ph.D. from the Royal Institute of Technology, Sweden. Her research fields include climate mitigation and energy transition’s impacts on environment and health, energy eco-nomics and climate policy, environmental economics and management. She has published more than 30 peer-reviewed journal papers, including the first/corresponding author papers in the Lancet Public Health, Applied Energy, Energy Conversion and Management etc. She serves as one of the leading authors of the “China Report of the Lancet Count-down on Health and Climate Change’. She is the associate editor of Applied Energy, the vice-director of Lancet Count-down Asia Center, and the editorial board member of Environmental Research Letters.
摘要：
As China's population ages rapidly, the health risks associated with a changing climate are becoming more threatening. We evaluate the progress and links between public health and climate change at the provincial level through 27 indicators in the “2022 China Report of the Lancet Countdown on Health and Climate Change”. With the following five do-mains: (1) climate change impacts, exposure, and vulnerability; (2) adaptation, planning, and resilience for health; (3) mitigation actions and health co-benefits;(4) economics and finance, and (5) public and political engagement, we paid special attention to estimate the impacts on the elderly and highlighting the urgency of taking action. Compared with younger age groups, people aged over 65 years are more vulnerable to the health risks of climate change, which incurred76% of heatwave-related deaths in 2021. In most provinces, people aged 65 years and older are facing higher health risks of climate change than the general population. Drawing from the findings, we call for a greater emphasis on accelerated adaptation and mitigation efforts to minimise the health impacts of the increasing climate change hazards, with particular focus on vulnerable groups such as the elderly.
北大经院工作坊第650场
Spirit of Innovation and Economic Development: Evidence from the Qing Dynasty of China
发展与公共财政工作坊
主讲人：王学博（上海财经大学副教授）
参与老师：
（北大经院）刘冲、吴群锋、曹光宇
（北大国发院）李力行、席天扬、徐化愚、于航、王轩
时间：2023年5月17日（周三）11：30-13：00
地点：北京大学国发院承泽园245教室
主讲人简介：王学博，上海财经大学经济学院副教授。主要研究领域为应用微观经济学，包括发展经济学与劳动经济学，目前侧重于政治经济学、公共经济学以及经济史方面的实证研究。
个人主页：https://www.wangxuebo.com/
摘要：
With the literary inquisition in the Qing Dynasty of China as an exogenous shock on innovation, we empirically study the effect of spirit of innovation on long-term economic development. Through our empirical investigations, we attempt to contribute to the explanations of two fundamental puzzles in Chinese history: (1) China was the global leader in science and technology before 1700, why this advantage did not lead to an Industrial Revolution (the Needham puzzle); (2) why China declined in the late Qing Dynasty. With a Difference-in-Differences (DID) strategy, by exploiting the variation of the literary inquisition across region and over time, we find that the literary inquisition reduced the number of scientific and technological innovations by at least 55–73% in affected regions in the short term and further had a negative effect on the long-term economic development of those regions in the Qing Dynasty.
北大经院工作坊第651场
Impact of Insurance on Capital-Constrained Supply Chain Finance under Asymmetric Information
风险、保险与不确定性经济学工作坊
主讲人：曾燕（中山大学岭南学院教授）
主持老师：
（北大经院）贾若
（人大财金）陈泽
（清华经管）刁莉
参与老师：
（北大经院）郑伟
（人大财金）魏丽
（清华经管）陈秉正等
时间：2023年5月18日（周四）10：00-11：30
形式：腾讯会议
会议号：201 611 196
密码：230518
主讲人简介：
曾燕，中山大学岭南学院教授、博士生导师。其主要研究领域包括数字经济、数字（普惠）金融、金融工程、风险管理与保险精算曾在美国麻省理工学院（MIT）、加拿大滑铁卢大学、新加坡国立大学、香港大学访问，是国家级青年人才、国家社科基金重大项目“数字普惠金融的创新、风险与监管研究”的首席专家、爱思唯尔中国高被引学者（2020、2021应用经济学）、广东省高校青年珠江学者、广东省自然科学基金杰出青年项目和霍英东教育基金项目获得者、广东省高校“千百十人才培养工程”培养对象系统科学与系统工程青年科技奖获得者、中国决策科学青年科技奖获得者。主持了国家自科面上项目等10余项课题；在本领域著名期刊《Journal of Economic Dynamics and Control》《Insurance: Mathematics and Economics》《Annals of Operations Research》《IEEE Systems Journal》、《Journal of Optimization Theory and Applications》、《管理科学学报》等上发表学术论文80余篇其中SCI/SSCI收录40余篇；出版7本学术著作；研究成果获得第八届高等学校科学研究优秀成果奖（人文社会科学）二等奖（部级）、广东省哲学社科优秀成果一等奖（省级）、第七届高等学校科学研究优秀成果三等奖（部级）、中国人保部社会保障论坛征文三等奖（部级）等；10余份政策咨询报告获得正国级等领导批示或被中办和省委办公厅采用供有关领导参阅。学术兼职包括广东省本科高校金融学类专业教学指导委员会秘书长、中国优选法统筹法与经济数学研究会理事、中国优选法统筹法与经济数学研究会量化金融与保险分会秘书长、中国优选法统筹法与经济数学研究会青年工作委员会常务委员、中国运筹学会金融工程与金融风险管理分会常务理事、中国运筹学会决策科学分会常务理事、Quantitative Finance and Economics编委等。
摘要：
We examine how the insurer improves the supplier's access to finance in a supply chain and alleviates the effect of information asymmetry. We develop an integrated supply chain model comprising of a capital-constrained supplier, a capital-constrained retailer, a loss-averse bank and an insurer. Supply chain participants have different beliefs of product demand and their operation and financing decisions are based on their beliefs. Our analytic and numerical results give the following three conclusions. First, the supplier should be responsible for the insurance premium. Higher premium proportion borne by the supplier can increase the order quantity and the total profit of the entire supply chain. Second, the performance of the entire supply chain improves as the insurance coverage ratio increases, especially under the case where the bank is loss-averse or the supplier is sufficiently capital-constrained. The purchase of insurance can effectively decrease the loan interest rate and improves the chance for the supplier to obtain a bank loan. Third, the supplier's and the retailer's profits are not maximized under supplier's belief of product demand because of information asymmetry. The use of insurance can mitigate the effect of information asymmetry. The supplier's and the retailer's decisions can approach the optimal decisions under full information if the insurer has more accurate information than the supplier and the bank.
北大经院工作坊第652场
Discrimination through Market Segmentation
微观理论经济学工作坊
主讲人：孟德隆（上海交通大学助理教授）
主持老师：
（北大经院）吴泽南、石凡奇
（北大国发院）胡岠
参与老师：
（北大经院）胡涛、吴泽南、石凡奇
（北大国发院）汪浩、胡岠
（北大光华）翁翕
时间：2023年5月18日（周四）10：30-12：00
地点：北京大学经济学院302会议室
主讲人简介：
Delong Meng is an assistant professor at Shanghai Jiao Tong University. His research interests include micro theory and behavioral economics.
摘要：
We study third-degree information discrimination where a sender gives different information to different segments of receivers. Information discrimination (with two actions) is equivalent to (constrained) price discrimination where the seller has an inaccurate belief about the distribution of buyers' values. When the state is binary, the seller's inaccurate belief implies that market segmentation fails to restore efficiency. For general state distribution we identify when market segmentation attains the social planner's outcome. Finally the receiver-optimal segmentation could increase the sender's payoff relative to the unsegmented market.
北大经院工作坊第653场
The occupational structure of late Imperial China, 1734-1898 and the Great Divergence
（中国1734-1898人口职业结构与大分流）
经济史工作坊
主讲人：杨成（中国人民大学经济学院经济史教研室讲师）
主持老师：（北大经院）赵一泠、Mark Hup
参与老师：
（北大经院）郝煜、管汉晖、周建波
（北大光华）颜色
（北大国发院）席天扬、于航
时间：2023年5月18日（周四）12：00-13：30
地点：北京大学经济学院410会议室
主讲人简介：
杨成是中国人民大学经济学院经济史教研室讲师，中国人民大学中国经济史研究中心研究员，中国人民大学中国经济改革与发展研究院经济史跨学科研究中心研究员，剑桥大学人口史与社会结构史研究所长期研究成员。毕业于北京大学考古文博学院与剑桥大学历史系。曾获2019年“经济史学会（EHS）年度新人奖”、2022年“世界经济史大会(WEHC)/国际经济史学会(IEHA )‘最佳博士论文’奖”、2023年“经济史学会T.S. 阿什顿奖”等奖项。主要研究兴趣与领域包括：中国人口职业结构变迁与长期经济发展规律研究、大分流、劳动史等。杨成是剑桥大学国际合作研究项目“国际人口职业结构比较史”（INCHOS） 主要研究成员。
摘要：
Based on the Xingke Tiben, this paper assesses the long-run economic development of China, by constructing a new estimate of male occupational structure during 1734–1898 by sector, sub-sector pattern, and region. After assessing the source's biases, using this new empirical basis, this paper demonstrates that the national male occupational structure was nearly identical in 1761–70, 1821–30, and 1881–90, suggesting a long-lasting structural stasis of the national economy, allowing for fluctuations between benchmark dates. Within agriculture, substantial regional differences in labour organisation are revealed. Three distinct models are found: the Northern Regions model features a high usage of wage labour, the Yangtze Valley model presents a high level of tenancy development, and the Southern Regions model displays the highest share of landowners. All three models saw increasing use of wage labour in 1761–1890 and shrinking landownership in 1821–90. At the regional level, the long-run estimate for Lower Yangtze suggests that the region as a whole stagnated throughout the entire period, but the overall structural stasis hides dynamic, contrasting long-run economic change between the region's core and peripheral areas. Comparative analysis with England further suggests that the timing of the Great Divergence between China and England took place before 1734, even in the context of the regional difference.
北京大学金融工程实验室
“对话投资总监”系列讲座
2023年第八讲：机器学习在量化投资中的应用
主讲人：郝彬（华夏基金数量投资部副总裁(VP)）
主持老师：（北大经院）黎新平
时间：2023年5月18日（周四）19：00-21：30
地点：北京大学经济学院泰康学术报告厅（307会议室）
主讲人简介：
郝彬，华夏基金数量投资部副总裁(VP)，北京大学计算机科学与技术硕士。2017年加入华夏基金，历任华夏基金数量投资部研究员、投资经理助理。负责人工智能量化策略的研究和投资。
主要内容：
机器学习等技术在投资领域的应用越来越广泛。本次讲座将从公募基金量化投资的角度，介绍机器学习及量化投资在海内外的发展，当前机器学习在量化投资实践的应用现状，以及未来机器学习在量化投资中的机遇。
北大经院工作坊第654场
Stakes and Investor Behaviors
计量、金融和大数据分析工作坊
主讲人：王宝链（佛罗里达大学Bank of America金融学讲席副教授）
主持老师：
高明（北京大学经济学院长聘副教授）
王熙（北京大学经济学院助理教授）
时间：2023年5月19日（周五）10：00-11：30
地点： 北京大学经济学院107会议室（线上）
主讲人简介：
Professor Baolian Wang (王宝链) is currently the Bank of America Associate Professor of Finance at the University of Florida. His research areas are empirical asset pricing, behavioral finance, investor behavior, FinTech, and the Chinese economy. His research has been published in leading academic journals, including Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Management Science, Review of Finance, Critical Finance Review, and Strategic Management Journal. Prior to joining UF, he was an assistant professor at Fordham University from 2014 to 2018. Professor Wang received his bachelor's and master's degrees from the School of Economics and Management at Tsinghua University before receiving his Ph.D. from the Hong Kong University of Science and Technology.
摘要：
We examine how stakes affect investor behaviors. In our unique setting, the same investors trade stocks in their real accounts using their own money and, at the same time, trade in a simulated setting. Our real-world within-investor estimation produces strong evidence that investors exhibit stronger biases and perform worse in their higher-stakes real accounts than in their lower-stakes simulated accounts. Even with no monetary stakes, investors exhibit strong biases in their simulated accounts, and biases in the two types of accounts are strongly positively correlated. Such behavioral consistency suggests that low-stakes experimental methods, although imperfect, can be informative about real-world human behaviors. Using account data from two brokerage companies, we find that investors exhibit a stronger disposition effect on positions with greater portfolio weight. Hence, the finding that stakes-strengthening-biases may not be unique to the comparison between no-monetary and high-monetary stakes.
供稿：科研与博士后办公室
美编：兮哲
责编：度量、雨禾、雨田
