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宋阳波

助理教授

职位 : 助理教授

教育背景 : 加州大学洛杉矶分校社会学系博士后、加州大学洛杉矶分校经济学博士、加州大学洛杉矶分校经济学硕士、香港大学经济金融(辅修统计学)学士学位

研究领域 : 博弈论,网络经济学,合约理论,机制设计

个人网站 : http://yangbosong.weebly.com/

邮箱地址 : yangbosong@cuhk.edu.cn

个人简介

宋博士于香港大学获得经济金融学士学位,于加州大学洛杉矶分校取得经济学博士学位。 2016年8月,他正式加入香港中文大学(深圳)经管学院。他的研究领域包括博弈论及其应用,信息经济学以及网络经济学。

学术著作

1. Song, Y. (2016). Social Learning with Endogenous Observation. Journal of Economic Theory, 166: 324-333.

2. Schaar, M., Song, Y. (2015). Dynamic Network Formation with Incomplete Information. Economic Theory, 59(2): 301-331.

3. “Social Learning with Endogenous Observation,” Journal of Economic Theory, 166 (2016): 324-333.

4. “Dynamic Network Formation with Incomplete Information,” with Mihaela van der Schaar, Economic Theory, 59(2) (2015): 301-331.

5. "Sharing in Networks of Strategic Agents," with Jie Xu and Mihaela van der Schaar, IEEE J. Sel. Topics Signal Process. – Special Issue on "Signal Processing for Social Networks" 8(4) (2014): 717-731.

6. "Incentivizing Information Sharing in Networks," with Jie Xu and Mihaela van der Schaar, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).


Working Papers:

1. “Multi-Stage R&D Competition under Uncertainty”, with Mofei Zhao, 2016

2. “Why Scientists Chase Big Problems/Hot Topics: Individual Strategy and Social Optimality,” with Jacob Foster and Carl Bergstrom, 2016

3. “Social Learning with Coordination Motives”, 2016

4. “Dynamic Network Formation with Foresighted Agents,” with Mihaela van der Schaar, 2016

5. “Foresighted Network Formation and Network Games,” with Mihaela van der Schaar, 2015

Publications:

1. "Dynamic R&D Competition under Uncertainty and Strategic Disclosure," with Mofei Zhao, accepted, Journal of Economic Behavior and Organization.

2. "Social Learning with Coordination Motives," with Jiahua Zhang, Games and Economic Behavior, 123 (2020), 81-100.

3. “Dynamic Network Formation with Foresighted Agents,” with Mihaela van der Schaar, International Journal of Game Theory, 49(2) (2020), 345-384.

4. “Repeated Network Games with Dominant Actions and Individual Rationality,” with Mihaela van der Schaar, IEEE Transactions on Network Science and Engineering, 6(4) (2019), 812-823.

5. “The governance role of institutional investors in information disclosure: Evidence from institutional investors’ corporate visits,”, with Yuchen Lin and Jinsong Tan, Nankai Business Review International, 8(3) (2017), 304-323.

6. “Social Learning with Endogenous Observation,” Journal of Economic Theory, 166 (11) (2016): 324-333.

7. “Dynamic Network Formation with Incomplete Information,” with Mihaela van der Schaar, Economic Theory, 59(2) (2015): 301-331.

8. "Sharing in Networks of Strategic Agents," with Jie Xu and Mihaela van der Schaar, IEEE J. Sel. Topics Signal Process. – Special Issue on "Signal Processing for Social Networks" 8(4) (2014): 717-731.

9. "Incentivizing Information Sharing in Networks," with Jie Xu and Mihaela van der Schaar, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

 

Working Papers:

1. "Viral Social Learning," with David McAdams.

2. "Local Obfuscation and Global Manipulation: Information Design in Coordination Games," with Fei Li and Mofei Zhao.

3. "Optimal Sequence in Teamwork," with Zhuoran Lu.

4. "Supplier Relationship-Specific Investments, Operating Leverage, and Cost of Equity," with Yi Ding, Jin Wang, and Xiaoqiao Wang.

5. "Does Gradualism Build Cooperation? Evidence from a Finitely Repeated Investment Experiment," with Xiangting Hu and Maoliang Ye.

6. "Learning of Actions in Finitely Repeated Games," with Mofei Zhao.

7. "Innovate or Expand: A Reputational Theory," with Mofei Zhao.

8. "Why Scientists Chase Big Problems/Hot Topics: Individual Strategy and Social Optimality," with Jacob Foster and Carl Bergstrom.