Identifying Sorting in Practice

A-Tier
Journal: American Economic Journal: Applied Economics
Year: 2018
Volume: 10
Issue: 4
Pages: 408-38

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

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

Abstract

We propose a novel methodology to uncover the sorting pattern in labor markets. We identify the strength of sorting solely from a ranking of firms by profits. To discern the sign of sorting, we build a noisy ranking of workers from wage data. Our test for the sign of sorting is consistent even with noisy worker rankings. We apply our approach to a panel dataset that combines social security earnings records with detailed financial data for firms in the Veneto region of Italy. We find robust evidence of positive sorting. The correlation between worker and firm types is about 52%.

Technical Details

RePEc Handle
repec:aea:aejapp:v:10:y:2018:i:4:p:408-38
Journal Field
General
Author Count
3
Added to Database
2026-01-24