北大经院工作坊第775场
中国人群慢性病疾病负担
经院-全健院
“健康与劳动经济学”工作坊
主讲人：齐金蕾（中国疾病预防控制中心研究员、硕士生导师）
主持老师：（北大全健院）潘聿航
参与老师：
（北大全健院）刘国恩、吕蓓妮、林昊翔、孙宇、杨佳楠
（北大经院）秦雪征、石菊、姚奕、王耀璟、袁野、梁远宁、庄晨
时间：2023年11月29日（周三）10：00-11：30
形式：ZOOM会议
会议号: 821 7366 2708
会议密码: 019738
主讲人简介：
齐金蕾，中国疾控中心慢病中心生命登记与死因监测室，副研究员，硕士生导师。长期从事慢性病防控与管理、死因与健康危险因素监测，人群健康测量与评价等研究。近年来参与多项国家重点研发计划、国家自然科学基金等多个国家及省部级项目以及国际合作项目。以第一作者在包括Lancet public health、Nature human behaviour、Plos medicine、Innovation等国际和国内知名期刊发表论文多篇。
摘要：
基于全国死因监测系统、慢性病及其危险因素监测系统、全球疾病负担中国分省研究等数据，系统分析了中国及分省人群的慢性病早死和伤残疾病负担及危险因素归因。
北大经院工作坊第776场
价值循环、经济结构与新发展格局：理论框架与国际比较
政治经济学工作坊
主讲人：李帮喜（清华大学社会科学学院经济学研究所副所长、长聘副教授）
主持老师：（北大经院）张辉、方敏、郭研
时间：2023年11月30日（周四）10：00-12：00
地点：北京大学理科教学楼303教室
主讲人简介：
李帮喜，清华大学社会科学学院经济学研究所副所长、长聘副教授、博士生导师，清华大学中国现代国有企业研究院副院长，全国综合大学《资本论》研究会常务理事、全国马克思列宁主义经济学说史学会常务理事、中华外国经济学说研究会理事、中国投入产出学会理事、全国马克思主义经济学青年论坛常务理事/执委会副主任。《政治经济学季刊》执行主编，Journal of Digital Economy副主编，《清华・政治经济学研究丛书》联合主编。研究领域为数理政治经济学，中国特色社会主义政治经济学，中国经济。在《经济研究》、《管理世界》、《马克思主义研究》、Monthly Review，《季刊经济理论》（日文）等国内外学术刊物发表论文四十余篇，出版中、英、日文专著3部，主持国家社科基金（重点项目、中华学术外译项目和一般项目）、清华大学文科领军人才等项目多项。荣获第九届日本经济理论学会青年奖（2018）、第五届刘诗白经济学奖（2020）和第八届高等学校科学研究优秀成果奖（人文社会科学）著作论文奖二等奖（2020）。
摘要：
本研究利用政治经济学的价值循环和社会总资本再生产理论，构建了一个理解新发展格局的理论框架，阐述了不同的经济循环模式依赖于技术结构、分配结构、需求结构和生产结构的相互配合，进而通过一个包含固定资本的三大部类再生产模型明确了各种结构的不同组合关系构成了不同类型的发展模式和发展格局。在此基础上，我们利用1957—2017年投入产出表，构建了中国经济的三大部类表，分析了中国经济结构的变化逻辑和由此带来的发展模式变迁路径。此外，还用同样的方法讨论了二战之后美国和日本的结构性特征，以此考察工业化后期可能的发展模式及其变迁规律，为中国未来的经济循环和新发展格局提供必要的启示。
北大经院工作坊第777场
Controlling Interactive Fixed Effects with Diversified Projections
计量、金融和大数据分析工作坊
主讲人：Hongjun Li（Tsinghua University）
主持老师：（北大经院）王熙
参与老师：
（北大经院）王一鸣、刘蕴霆、王法
（北大国发院）黄卓、张俊妮、孙振庭
（北大新结构）胡博
时间：2023年12月1日（周五） 10:00-11:30
地点： 北京大学经济学院107会议室
主讲人简介：
Hongjun Li an associate professor at Tsinghua University. His primary research interests lie in econometrics and empirical industrial organization. His expertise centers on nonparametric econometrics, machine learning, and the analysis of high-dimensional data. He has publications in Econometric Reviews, Economics Letters, Empirical Economics, and Journal of Econometrics.
摘要：
This paper considers estimation and inferential issues of panel data models with interactive fixed effects (IFE) using diversified projections (DP) method proposed recently by Fan and Liao (2022). In contrast with ordinary least square method in Bai (2009) and weighted least square method in Bai and Li (2021), our method enjoys some merits such as robustness to the pervasive conditions on factors, stationarity condition on data, or weak serial dependence. Under certain regularity conditions, we prove that the DP estimators are root NT-consistent, and have asymptotically normal distribution. We run Monte Carlo simulations to investigate the finite sample properties of the DP estimators and find its superior performance under the setup alike to real data. We apply our method to the study on the nexus of GDP growth and financial development, and find that the estimate from the DP method is more reasonable than the alternatives in the sense that it is close to the prediction of the related economic theory.
北大经院工作坊第778场
The Value of Ratings: Evidence from their Introduction in Securities Markets
经济史工作坊
主讲人：Eric Hilt (Wellesley College)
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12月1日（周五）10:30-12:00
形式：腾讯会议
会议号：464-261-820
会议密码：231201
主讲人简介：
Eric Hilt is Professor of Economics at Wellesley College and a Research Associate of the National Bureau of Economic Research. He has also been a visiting professor at Yale University and at the Paris School of Economics, and a visiting scholar at the Russell Sage Foundation. His work analyzes the financial development of the United States, and has focused on a broad range of topics including the role of elite financiers in the economy in the Gilded Age, the political economy of the bond drives of World War I and II, the evolution of the public corporation, and the causes and consequences of nineteenth and twentieth century financial crises. His research has been published in the leading journals of the field of economics, including the American Economic Review and Journal of Political Economy, as well as journals in the fields of finance, business history, law, and economic history. Eric is currently Co-Editor of the Journal of Economic History.
摘要：
We study the effects of the first-ever ratings for corporate securities. In 1909, John Moody published a book that partitioned the majority of listed railroad bonds into letter-graded ratings based on his assessments of their credit risk. These ratings had no regulatory implications and were largely explainable using publicly available information. Despite this, we find that lower than market-implied ratings caused a rise in secondary market bond yields. Using an instrumental-variables design, we show that bonds that were rated experienced a substantial decline in their bid-ask spreads, which is consistent with reduced information asymmetries and improved liquidity. Our findings suggest that ratings can improve information transmission, even in settings with the highest monetary stakes, and highlight their potential value for the functioning of financial markets.
供稿：科研与博士后办公室
美编：初夏
责编：度量、雨禾、雨田
