第七届“云鹰读书会”招生简章

2023-12-23

新时代的人才需要拥有国际化视野、深厚的理论洞察力,以及不容被智能科技取代的数据和模型分析能力,同时还应具备“知中国服务中国”的精神。为了培养这样的新时代顶尖研究型人才,从2018年开始,“云鹰读书会”应运而生。该读书会与国际经济与贸易系本科生课程体系中的《国际经济贸易科研训练:理论》、《国际经济贸易科研训练:实证》、《数字经贸科研训练:理论》和《数字经贸科研训练:实证》两门课程相对应。截至目前,“云鹰读书会”已发展成为南开大学国经学科高水平学术训练活动的独特品牌。

如果你渴望深入理解经济活动的规律,如果你乐于与老师和同学们进行学术思想的交流碰撞,如果你愿意接受严格的训练,只要你对每次读书会认真对待,那么在短短一年内,你将由对经济学毫无了解逐步达到某个领域的博士水平。你将具备用数学模型描绘世界的能力,你将拓宽个人视野,了解国际范围内的重要研究课题,还将学会向他人展示最前沿的研究发现,并以深入人心的方式解释经济学现象。

不过,在你决定要加入读书会之前,请想好这是对自己的一个承诺,意味着你会严格按照读书会的体系和老师的要求进行训练:(1)在论文展示之前,至少提前30天准备;(2)按时完成老师布置的作业(包括数理推导和编程);(3)报名时间为2023年12月30号之前,请及时报名,否则的话,你可能没有足够的时间准备读书会。这样你将很难跟上后面的论文。(4)一定要给老师们发邮件,否则的话,老师将无法安排大家讲论文的次序,从而耽误读书会的正常进行。

读书会的训练体系会分为两个组同时进行。第一组由李凝晖、冯笑两位老师负责,第二组由何秋谷、张洁两位老师负责。每位同学只能参加一组读书会,读书会总人数控制在60人。

请注意:(1)报名第一组的同学同时给李凝晖和冯笑两位老师发邮件(nhli@nankai.edu.cn; fengxiaonku@163.com ),标题注明:姓名+报名第六届云鹰读书会1组;报名第二组的同学同时给何秋谷和张洁两位老师发邮件(qiugu.he@nankai.edu.cn;zhangjiezj1994@163.com ),标题注明:姓名+报名第六届云鹰读书会2组。在尽量尊重学生选择的基础上,云鹰读书课程组老师保留对同学们报名组别的调配权。

(2)请大家在邮件中提供以下信息:年级、专业、入学以来对学习成绩、个人介绍和未来规划

(3)1组和2组的时间、论文list见下。


1组(微观组)

时间:周四晚上11-13节

请选《国际经济贸易科研训练:理论》



负责老师:李凝晖、冯笑

提前预习材料(请务必提前阅读,否则无法跟上学习进度):静态最优化方法(可以到https://economics.smu.edu.sg/phd-economics/programme-description-idp下载 Math Camp部分的Part 1B)


Reading list:

The three-decade evolution of economic geography research
Agglomeration vs Dispersion
1. “Increasing Returns and Economic Geography”, Krugman (1991).
2. “The Size of Regions”, Helpman (1998).
3. “Spatial Development”, Desmet and Rossi-Hansberg (2014).

From Trade Model to Spatial Model
4. “Technology, Geography, and Trade”, Eaton and Kortum (2002).
5. “Goods Trade, Factor Mobility and Welfare”, Redding (2016).
6. “The Economics of Density: Evidence from the Berlin Wall”, Ahlfeldt, et al (2015).

Previous important topics
Spatial Sorting
7. “The Determinants and Welfare Implications of US Workers’ Diverging Location Choices by Skill: 1980-2000”, Diamond (2016).
8. “Firm Sorting and Agglomeration”, Gaubert (2019).
Migration liberalization (such as Hukou Reforms)
9. “Trade, Migration, and Productivity: A Quantitative Analysis of China”, Tombe and Zhu (2019).
10. “Internal Geography, Labor Mobility, and the Distributional Impacts of Trade”, Fan (2019).

Trending topics
Climate Change
11. “The Economic Geography of Global Warming”, Cruz and Rossi-Hansberg (forthcoming).
12. “Climate Change, Inequality, and Human Migration”, Burzynski, et al (2022).

Housing
13. “Affordable Housing and City Welfare”, Favilukis, Mabille, and Nieuwerburgh (2022).
14. “Spatial Inequality and Housing in China”, Fischer (2023).

Spatial Policies
15. “Place-based Redistribution” Gaubert, M.Kline, and Yagan, R&R.



2组(宏观组)

时间:周五晚上11-13节

请选《数字经贸科研训练:理论》



负责老师:何秋谷、张洁


提前预习材料(请务必提前阅读,否则无法跟上学习进度):动态规划方法(可以到https://economics.smu.edu.sg/phd-economics/programme-description-idp下载 Math Camp部分的Part 2B)


Reading list:

1. “The economic implications of learning by doing”, Arrow, Kenneth J. (1962).
2. “Increasing returns and long-run growth”, Romer, Paul M. (1986).
3. “Endogenous technological change”, Romer, Paul M. (1990).
4. “Ten facts on declining business dynamism and lessons from endogenous growth theory”, Akcigit, Ufuk, and Sina T. Ates (2021).
5. “Competition and innovation: An inverted-U relationship”, Aghion, Philippe, Nick Bloom, Richard Blundell, Rachel Griffith, and Peter Howitt (2005).
6. “Innovating firms and aggregate innovation”, Klette, Tor Jakob, and Samuel Kortum (2004).
7. “An empirical model of growth through product innovation”, Lentz, Rasmus, and Dale T. Mortensen (2008).
8. “Buy, keep, or sell: Economic growth and the market for ideas”, Akcigit, Ufuk, Murat Alp Celik, and Jeremy Greenwood (2016).
9. “Growth through heterogeneous innovations”, Akcigit, Ufuk, and William R. Kerr (2018).
10. “Connecting to power: political connections, innovation, and firm dynamics”, Akcigit, Ufuk, Salomé Baslandze, and Francesca Lotti (2023).
11. “Nonrivalry and the Economics of Data”, Jones, Charles I., and Christopher Tonetti (2020).
12. “Does directed innovation mitigate climate damage? evidence from us agriculture”, Moscona, Jacob, and Karthik A. Sastry (2023).
13. “A growth model of the data economy”, Farboodi, Maryam, and Laura Veldkamp, NBER working paper (2021).
14. “The changing economics of knowledge production”, Abis, Simona, and Laura Veldkamp, Available at SSRN 3570130 (2020).
15. “The impact of regulation on innovation”, Aghion, Philippe, Antonin Bergeaud, and John Van Reenen (2023).


编辑:吕宸慧 程一然

审校:彭支伟

2023年12月23日