IMF-自动化与福利：任务与教育的作用（英）-2024.1-41页_1mb

Summary of IMF Working Paper "Automation and Welfare: The Role of Bequests and Education"

Introduction

The paper examines the welfare effects of automation, incorporating factors like bequests (intergenerational transfers) and education. Automation, driven by technological advancements, may worsen labor market outcomes and inequality but can be offset by private and public educational policies. The analysis uses overlapping generation (OLG) models to assess these dynamics, with a focus on fiscal policies to redistribute benefits across generations.

Key Findings

• Plug in
• Plug in from the working paper: A one-time improvement in machine efficiency can immiserize future generations without intergenerational transfers, but bequests and education mitigate this.
• Literature Context: Studies on automation vary from pessimistic views (e.g., labor displacement) to optimistic outlooks (e.g., productivity gains). Aging populations and pandemics exacerbate labor supply issues.

Extensions with Bequests and Education

• A positive bequest parameter promotes intergenerational transfers, boosting welfare and reducing inequality.
• Private education leads to higher savings and consumption, while public education equalizes opportunities and improves social welfare.

Artificial Intelligence

• AI adoption enhances welfare overall by increasing substitution elasticities of factors like skills and machines.
• Different substitution elasticities affect familial choices between investments in human and physical capital.

Conclusions

• Bequests and education are crucial for spreading automation benefits across generations; enable deficit spending to improve consumption allocation.
• Public policies on taxation, bequests, and education foster long-term societal gains.