How Do I Compare? The Effect of Work-Unit Demographics on Reactions to Pay Inequality

ILR Review ◽  
2021 ◽  
pp. 001979392110018
Author(s):  
J. Adam Cobb ◽  
JR Keller ◽  
Samir Nurmohamed

Prior research suggests that individuals react negatively when they perceive they are underpaid. Moreover, individuals frequently select pay referents who share their race and gender, suggesting that demographic similarity affects one’s knowledge of pay differences. Leveraging these insights, the authors examine whether the gender and racial composition of a work unit shapes individuals’ reactions to pay deprivation. Using field data from a large health care organization, they find that pay deprivation resulting from workers receiving less pay than their same-sex and same-race coworkers prompts a significantly stronger response than does pay deprivation arising from workers receiving less pay than their demographically dissimilar colleagues. A supplemental experiment reveals that this relationship likely results from individuals’ propensity to select same-category others as pay referents, shaping workers’ information about their colleagues’ pay. The study’s findings underscore the need to theoretically and empirically account for how demographically driven social comparison processes affect reactions to pay inequality.

Crisis ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 113-119 ◽  
Author(s):  
Michael S. Rodi ◽  
Lucas Godoy Garraza ◽  
Christine Walrath ◽  
Robert L. Stephens ◽  
D. Susanne Condron ◽  
...  

Background: In order to better understand the posttraining suicide prevention behavior of gatekeeper trainees, the present article examines the referral and service receipt patterns among gatekeeper-identified youths. Methods: Data for this study were drawn from 26 Garrett Lee Smith grantees funded between October 2005 and October 2009 who submitted data about the number, characteristics, and service access of identified youths. Results: The demographic characteristics of identified youths are not related to referral type or receipt. Furthermore, referral setting does not seem to be predictive of the type of referral. Demographic as well as other (nonrisk) characteristics of the youths are not key variables in determining identification or service receipt. Limitations: These data are not necessarily representative of all youths identified by gatekeepers represented in the dataset. The prevalence of risk among all members of the communities from which these data are drawn is unknown. Furthermore, these data likely disproportionately represent gatekeepers associated with systems that effectively track gatekeepers and youths. Conclusions: Gatekeepers appear to be identifying youth across settings, and those youths are being referred for services without regard for race and gender or the settings in which they are identified. Furthermore, youths that may be at highest risk may be more likely to receive those services.


2014 ◽  
Author(s):  
Susana J. Ferradas ◽  
G. Nicole Rider ◽  
Johanna D. Williams ◽  
Brittany J. Dancy ◽  
Lauren R. Mcghee

2003 ◽  
Author(s):  
Isis H. Settles ◽  
William A. Jellison ◽  
Joan R. Poulsen

2018 ◽  
Vol 41 (4) ◽  
pp. 277-289 ◽  
Author(s):  
Sarah C. Narendorf ◽  
Michelle R. Munson ◽  
Shelly Ben-David ◽  
Andrea R. Cole ◽  
Lionel D. Scott

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