Learning-by-Doing as a Propagation Mechanism

S-Tier
Journal: American Economic Review
Year: 2002
Volume: 92
Issue: 5
Pages: 1498-1520

Score contribution per author:

2.681 = (α=2.01 / 3 authors) × 4.0x S-tier

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

Abstract

This paper suggests that skill accumulation through past work experience, or "learning-by-doing" (LBD), can provide an important propagation mechanism in a dynamic stochastic general-equilibrium model, as the current labor supply affects future productivity. Our econometric analysis uses a Bayesian approach to combine micro-level panel data with aggregate time series. Formal model evaluation shows that the introduction of the LBD mechanism improves the model's ability to fit the dynamics of aggregate output and hours.

Technical Details

RePEc Handle
repec:aea:aecrev:v:92:y:2002:i:5:p:1498-1520
Journal Field
General
Author Count
3
Added to Database
2026-01-25