Growth through learning

B-Tier
Journal: Review of Economic Dynamics
Year: 2023
Volume: 50
Pages: 211-234

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

This paper analyzes an economy in which agents face related problems and invest in parameter information that they share. The N-player game generates growth via statistical learning alone. The equilibrium growth rate rises with agents' risk aversion via precautionary saving. Research entails a free riding problem, but the scale effect dominates and growth rises with the number of agents. (Copyright: Elsevier)

Technical Details

RePEc Handle
repec:red:issued:23-157
Journal Field
Macro
Author Count
2
Added to Database
2026-01-25