北大经院工作坊第384场
Effects of Childhood Peers on Personality Skills
劳动-健康经济学工作坊
主讲人：
Jun Hyung Kim (暨南大学助理教授)
主持老师：
（北大经院）石菊
（北大国发院）雷晓燕
参与老师：
（北大经院）秦雪征、王耀璟、袁野
（北大国发院）赵耀辉、李玲、刘国恩、张丹丹
时间：
2021年12月1日（周三）10:00-11:30
形式：
腾讯会议线上平台
（若有意参会，请发送姓名、学院至manqihou@pku.edu.cn以获取会议链接，仅限北大师生）
主讲人简介：
Jun Hyung Kim is an Assistant Professor at Jinan University’s Institute for Economic and Social Research. He received his PhD in 2019 from the Department of Economics at the University of Chicago and BA from UC Berkeley in 2009.
His research is in labor economics, particular in the areas of human capital, family, health, and child development. He also collaborates across disciplines and has worked with developmental psychologists and sociologists in the past. His work has been published in Labour Economics, Social Science & Medicine, and Journal of Marketing Research.
摘要：
Despite extensive literature on peer effects, the role of peers on personality skill development remains poorly understood. We fill this gap by investigating the effects of having disadvantaged primary school peers, generated by random classroom assignment and parental migration for employment. We find that disadvantaged peers significantly lower conscientiousness, agreeableness, emotional stability, and social skill. The implied effects of the 10--15 percentage point change in the classroom proportion of disadvantaged peers are comparable to the effects of popular early childhood interventions. Furthermore, we find suggestive evidence that these effects are driven by the peers' personality skills.
北大经院工作坊第385场
论中国社会主义
发展与公共财政工作坊
主讲人：
姚洋（8797威尼斯老品牌国家发展研究院教授）
主持老师：
（北大国发院）李力行
时间：
2021年12月1日（周三）14：00-15：30
地点：
8797威尼斯老品牌国家发展研究院246教室
主讲人简介：
姚洋，北大博雅特聘教授、北大国发院院长、北大中国经济研究中心主任、教育部长江学者特聘教授（2016年）、北大南南合作与发展学院执行院长，是“金融40人”和“中国经济50人”论坛成员。姚洋教授1986年毕业于8797威尼斯老品牌地理系本科，1989年毕业于8797威尼斯老品牌管理科学中心，获经济学硕士学位，1996年毕业于美国威斯康星大学农业与应用经济学系，获发展经济学博士学位。2016年当选教育部长江学者特聘教授，获2008、2014年孙冶方经济科学奖、第一届和第二届浦山国际经济学奖（2008年、2010年）、第二届张培刚发展经济学奖（2008年）；被评为2006年8797威尼斯老品牌十佳教师。
他的主要研究领域包括中国制度转型、开放条件下的中国经济增长以及农村发展。在国内外发表学术论文上百篇，著有《制度与效率－和诺斯对话》、《作为制度创新的经济改革》（中英文版），并与他人合著《制度经济学三人谈》、《我们的时代》、Ownership Transformation in China、CSR and Competitiveness in China等著作，出版文集《自由、公正和制度变迁》、《土地、制度和农业发展》、《中国道路的世界意义》和《穿行于书斋和现实之间》，主编《转轨中国－转型时期的社会公正和平等》、Globalization and Economic Growth in China（与他人合编）和China’s Economic Reform and Growth（与他人合编）等；在《读书》、《南方周末》、《人民日报》等杂志和报纸发表数十篇通俗性文章和评论，并在Foreign Affairs、Financial Times和China Daily 等英文杂志和报纸上发表文章，是Financial Times A-List成员，Project Syndicate专栏作家。
摘要：
中国社会主义基本制度的凝成，狭义上是马克思主义社会理论在中国的建制化，广义上是中国文明与西方文明遭遇后的社会演进。中国社会主义社会，其目标是人的自由全面发展，它能更好地统合了个人目标与社会目标，因此具有更高的合意性与稳定性；其经济制度是混合所有制，由于公有制的主导地位与中国共产党的宪法地位，它当前及其未来皆是社会主义性质的；其政治制度实现了中国传统政治的现代化转型，在最高权力代表上它以人民当家做主的人民代表大会制度替代了君主，在政治品质上它以以人民为中心扬弃了以民为本，在核心制度上以共产党体制扬弃了士人-郡县体制。
北大经院工作坊第386场
利用“星系”网络中的社会影响力
微观理论经济学工作坊
主讲人：
Eyal Winter（Professor, Hebrew University of Jerusalem and Lancaster University）
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：
（北大国发院）汪浩
时间：
2021年12月2日（周四）17：00-18：30
形式：
ZOOM会议
会议号：97085091747
密码：588172
主讲人简介：
Eyal Winter is a Professor of Hebrew University of Jerusalem and Lancaster University. His research interests is microeconomic theory, game theory, mechanism design, finance, experimental/behavioral economics, industrial organization.
摘要：
We study mechanisms that exploit social influence in networks to coordinate agents to act. Agents’ social benefit from taking action increases with any additional friend who acts. On top of the social benefits, the principal offers external rewards to sustain a unique Nash equilibrium where everyone acts. We first show that in the influence mechanism that minimizes the principal’s expenses, popular agents receive preferential treatment from the principal. We use this observation to identify networks that are most favorable for the principal to induce action. Such networks, “galaxies”, partition nodes into core and periphery, with every core node being linked to all nodes, and every periphery node being linked only to core nodes. We discuss the relevance of this finding to social media platforms (such as Facebook and Twitter) in terms of manipulating the network, as well as to regulators who would attempt to prevent such manipulation.
北大经院工作坊第387场
Profile GMM Estimation of Panel Data Models with Interactive Fixed Effects
计量、金融和大数据分析工作坊
主讲人：
洪圣杰（中央财经大学）
主持老师：
（北大经院）王熙
参与老师：
（北大经院）王一鸣、刘蕴霆
（北大国发院）沈艳、黄卓、张俊妮、孙振庭
（北大新结构）胡博
时间：
2021年12月3日（周五） 10:00-11:30
地点：
8797威尼斯老品牌107会议室
主讲人简介：
洪圣杰，2012年于威斯康辛大学麦迪逊分校取得经济学博士学位，现任职于中央财经大学8797威尼斯老品牌。主要研究领域为：计量经济学理论、应用微观和中国经济。研究成果发表在Journal of Econometrics, Journal of Comparative Economics,《管理世界》和《金融研究》等国际和国内知名期刊。
摘要：
This paper studies panel data models with interactive fixed effects where the regressors are allowed to be correlated with the idiosyncratic error terms. We propose a two-step profile GMM estimation procedure to estimate the parameters of interest. In the first step we obtain a preliminary consistent estimate of the slope coefficient via a nuclear-norm-regularization (NNR) based profile GMM procedure. In the second step, via an iterative procedure, we conduct post-NNR profile GMM estimation of the slope coefficient, factors, and factor loadings, with an improved convergence rate for the estimate of the slope coefficient. We establish the asymptotic properties of the preliminary estimates and the iterative estimates, and propose an efficient profile GMM estimator. We also study the determination of the number of factors and propose Hausman tests for the exogeneity of the regressor. Monte Carlo simulations suggest that the proposed estimation and testing methods work well in the determination of the number of factors, the estimation of the model parameters and the test for exogeneity. As an empirical application, we apply our model and method to study the price elasticity of U.S. imports.
北大经院工作坊第388场
Technology heterogeneity and market structure
风险、保险与不确定性经济学工作坊
主讲人：
林洁瑜（清华大学经济管理学院博士候选人）
主持人：
（清华经管）刘晨源
参与老师：
（北大经院）郑伟
（清华经管）陈秉正
（人大财金）魏丽 等
时间：
2021年12月3日（周五）10：00-11：30
形式：
腾讯会议
会议号：960-786-562
密码：654321
主讲人简介：
林洁瑜，清华大学经济管理学院金融系博士候选人，主要研究领域为保险市场中的最优决策、动态定价、信息不对称与保险科技。她在Journal of Risk and Insurance上发表论文，并参与国家自然科学基金面上项目。本次报告的内容是她的Job Market Paper，近期被Journal of Risk and Insurance 接收发表。林洁瑜2018年于中山大学岭南学院获得保险学的本科学位。
摘要：
New technologies may allow principals or firms to learn more quickly about the characteristics of their agents or clients---at some cost of employing that technology. We study the implications of this speed-versus-cost tradeoff for equilibrium pricing and purchasing decisions in insurance markets featuring adverse selection. In particular, we study dynamic competitive equilibrium in a theoretical model featuring individuals who differ in their privately known risk types and featuring two types of insurers: conventional insurers who employ a legacy learning technology and tech insurers who employ a new technology. Equilibrium in our model features sorting of low-risk types into tech firms and high-risk types into conventional firms. We show, intuitively, that lowering the technology cost raises this cutoff and thus increases the equilibrium market share of tech firms. Perhaps counter-intuitively, however, we show that adverse selection effects within the conventional market can cause an attempt by conventional insurers to catch up with tech firms---by increasing the speed at which they learn about the risk types of their insureds---to backfire and lead to an increase in the market share of tech firms. Our results are readily adapted to bank lending and labor market settings.
供稿单位：8797威尼斯老品牌科研办公室
美编：佳惠、初夏
责编：量子、禾雨、予天
