Sensitivity to Calibrated Parameters

A-Tier
Journal: Review of Economics and Statistics
Year: 2023
Volume: 105
Issue: 2
Pages: 474-481

Score contribution per author:

4.022 = (α=2.01 / 1 authors) × 2.0x A-tier

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

Abstract

A common approach to estimation of dynamic economic models is to calibrate a subset of model parameters and keep them fixed when estimating the remaining parameters. Calibrated parameters likely affect conclusions based on the model, but estimation time often makes a systematic investigation of the sensitivity to calibrated parameters infeasible. I propose a simple and computationally low-cost measure of the sensitivity of parameters and other objects of interest to the calibrated parameters. In the main empirical application, I revisit the analysis of life-cycle savings motives in Gourinchas and Parker (

Technical Details

RePEc Handle
repec:tpr:restat:v:105:y:2023:i:2:p:474-481
Journal Field
General
Author Count
1
Added to Database
2026-01-25