Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation

S-Tier
Journal: Review of Economic Studies
Year: 2023
Volume: 90
Issue: 5
Pages: 2261-2291

Authors (2)

Score contribution per author:

4.036 = (α=2.02 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Technological change, from the advent of robots to expanded trade opportunities, creates winners and losers. How should government policy respond? We provide a general theory of optimal technology regulation in a second-best world, with rich heterogeneity across households, linear taxes on the subset of firms affected by technological change, and a non-linear tax on labour income. Our first set of results consists of optimal tax formulas, with minimal structural assumptions, involving sufficient statistics that can be implemented using evidence on the distributional impact of new technologies, such as robots and trade. Our final results are comparative static exercises illustrating, among other things, that while distributional concerns create a rationale for non-zero taxes on robots and trade, the magnitude of these taxes may decrease as the process of automation and globalization deepens and inequality increases.

Technical Details

RePEc Handle
repec:oup:restud:v:90:y:2023:i:5:p:2261-2291
Journal Field
General
Author Count
2
Added to Database
2026-01-25