Relaxed Optimization: How Close Is a Consumer to Satisfying First-Order Conditions?

A-Tier
Journal: Review of Economics and Statistics
Year: 2023
Volume: 105
Issue: 4
Pages: 883-898

Authors (2)

Geoffroy de Clippel (Brown University) Kareen Rozen (not in RePEc)

Score contribution per author:

2.018 = (α=2.02 / 2 authors) × 2.0x A-tier

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

Abstract

We propose relaxing the first-order conditions in optimization to approximate rational consumer choice. We assess the magnitude of departures with a new, axiomatically founded measure that admits multiple interpretations. Standard inequality tests of rationality for any given reference class of preferences can be conveniently repurposed to measure goodness-of-fit with that class. Another advantage of our approach is that it is applicable in any context where the first-order approach is meaningful (e.g., convex budget sets arising from progressive taxation). We apply these ideas to shed new light on existing portfolio-choice data.

Technical Details

RePEc Handle
repec:tpr:restat:v:105:y:2023:i:4:p:883-898
Journal Field
General
Author Count
2
Added to Database
2026-01-25