Progressive Learning

S-Tier
Journal: Econometrica
Year: 2017
Volume: 85
Issue: 6
Pages: 1965-1990

Authors (2)

Avidit Acharya (not in RePEc) Juan Ortner (Boston University)

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

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

Abstract

We study a dynamic principal–agent relationship with adverse selection and limited commitment. We show that when the relationship is subject to productivity shocks, the principal may be able to improve her value over time by progressively learning the agent's private information. She may even achieve her first‐best payoff in the long run. The relationship may also exhibit path dependence, with early shocks determining the principal's long‐run value. These findings contrast sharply with the results of the ratchet effect literature, in which the principal persistently obtains low payoffs, giving up substantial informational rents to the agent.

Technical Details

RePEc Handle
repec:wly:emetrp:v:85:y:2017:i:6:p:1965-1990
Journal Field
General
Author Count
2
Added to Database
2026-01-26