研讨论文

Uneven Growth: Automation's Impact on Income and Wealth Inequality (Econometrica. Moll et al.2022)

主讲人

陈健英（中经管2023级博士生）

上期回顾

In the previous session, we derived the transitional dynamics of the model through the aggregate consumption function and calibrated the model based on the degree of automation from 1980 to 2014. We then presented the dynamics of labor share,output per worker, the net investment rate, the capital-output ratio, the return to wealth, and the average hourly wage. According to the quantitative results, while automation has led to an increase in the gross capital share, a substantial portion of this increase has been driven by returns rather than the stock of capital.

本期预告

Based on the previous discussion, we will further examine the impact of automation on wealth distribution. By assuming that wealth distribution follows a Pareto distribution, we will derive the stationary distribution of effective wealth for skill type. We will show that the tail index is equal to the degree of automation, implying that as automation increases, wealth inequality intensifies. Additionally,we will compute the share of national income held by the top group, and show that a higher degree of automation leads to an increase in this share.

时间

3月13日14:00-17:00

地点

学术会堂712

主持人/点评老师

王忏 明洋

活动对象

创新发展学院、金融学院学生

人数规模

30人

主办单位

创新发展学院中国经济与管理研究院、金融学院联合主办

撰稿：陈健英

审稿：明洋

编辑：沈嘉怡

审核：王颖