The digital skill premium: Evidence from job vacancy data

C-Tier
Journal: Economics Letters
Year: 2025
Volume: 250
Issue: C

Authors (5)

Garcia-Lazaro, Aida (not in RePEc) Mendez-Astudillo, Jorge (not in RePEc) Lattanzio, Susan (not in RePEc) Larkin, Charles (University of Bath) Newnes, Linda (not in RePEc)

Score contribution per author:

0.201 = (α=2.01 / 5 authors) × 0.5x C-tier

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

Abstract

This paper examines the relationship between digital skills demand and posted wages in the UK using novel vacancy data. Digital skills — classified into basic, intermediate, and advanced using an XGBoost model — are linked to significant wage premiums. Within occupations, they are associated with 5.8% higher wages, with advanced and intermediate skills increasing wages by up to 8.9% when listed in job postings. Each additional digital skill increases wages by 1%, rising to 1.6% for advanced and intermediate skills. Artificial intelligence (AI) and cybersecurity skills yield particularly high returns, increasing wages by 8.6%–9.7% when listed and by 4.8%–5.4% per additional skill.

Technical Details

RePEc Handle
repec:eee:ecolet:v:250:y:2025:i:c:s0165176525001314
Journal Field
General
Author Count
5
Added to Database
2026-01-25