研讨论文

Artificial Intelligence and Technological Unemployment（Wang and Wong，2025）

主讲人

卢福豪（北京大学光华管理学院2025级博士生）

上期回顾

In our previous discussion, we recapped the associated HJB equations for the worker, the firm, and the joint surplus generated upon matching. Subsequently, we derived the wage rate through the Nash bargaining process. Building on this, we derived the ODE governing inequality dynamics and examined inequality under identical fundamental characteristics. Furthermore, we described the law of motion for employed workers, which, together with the laws of motion for AI and joint surplus, constituted the dynamic system that characterizes the equilibrium. Finally, we summarized the dynamics of the economy and examined three distinct model specifications based on whether we endogenized labor productivity or the job-finding rate.

本期预告

We will characterize the equilibrium conditions under a simple model with two exogenous parameters that guarantee closed-form solutions. Specifically, we will first defin the steady states in three cases-some AI, unbounded AI, and no Al-under different parameter settings and will discuss the associated comparative statics. Subsequently, we will characterize global determinacy, which shows that the steady state exists and is unique. Next, we will identify local determinacy conditions for a unique saddle path. Finally, we will characterize the constrained efficient allocation under the social planner's problem and derive a time-varying Hosios condition, which helps replicate the efficient allocation in a decentralized economy and differs starkly from the Hosios condition in the canonical SAM model.

主持人/点评老师

王忏 明洋

时间

12月14日19:00-21:00

地点

学术会堂712

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：卢福豪

审稿：明洋

编辑：沈嘉怡

审核：林艺茹