Optimal unemployment insurance in GE: A robust calibration approach

C-Tier
Journal: Economics Letters
Year: 2012
Volume: 117
Issue: 1
Pages: 28-31

Score contribution per author:

1.009 = (α=2.02 / 1 authors) × 0.5x C-tier

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

Abstract

A simple Monte Carlo calibration approach is implemented in a GE model with uninsurable employment risk to quantitatively study the optimal replacement rate of a public unemployment insurance (UI) scheme. The optimal UI sampling distribution is found to be bimodal.

Technical Details

RePEc Handle
repec:eee:ecolet:v:117:y:2012:i:1:p:28-31
Journal Field
General
Author Count
1
Added to Database
2026-01-25