Salary history bans and healing scars from past recessions
Joshua Mask ()
Labour Economics, 2023, vol. 84, issue C
Abstract:
In a recession, increased competition forces inexperienced job market entrants to accept lower wages than those who start their careers during an economic boom. Despite years of improvement in labor market conditions following a recession, a wage disparity, known as scarring, persists between these cohorts. Recently implemented Salary History Ban laws (SHBs) are intended to reduce wage disparities between advantaged and disadvantaged groups. In this study, I test how these laws affect a unique and often less salient disadvantaged group – scarred workers. For scarred workers who began their careers during a moderate-to-severe recession, or a five percentage point higher state unemployment rate, I find SHBs increase job mobility by 0.6%, hourly wages by 2.65%, and weekly earnings by 5% relative to cohorts who graduated in baseline labor market conditions. These estimates represent a substantial reduction in the original scarring effect and provide a broader understanding of the mechanisms behind both scarring and SHB laws.
Keywords: Wage scarring; Labor discrimination; Salary history bans (search for similar items in EconPapers)
JEL-codes: J11 J15 J16 J24 J31 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927537123000830
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:labeco:v:84:y:2023:i:c:s0927537123000830
DOI: 10.1016/j.labeco.2023.102408
Access Statistics for this article
Labour Economics is currently edited by A. Ichino
More articles in Labour Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().