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2022 | OriginalPaper | Chapter

Marginalisation and Misperception: Perceiving Gender and Racial Wage Gaps in Ego Networks

Authors : Daniel M. Mayerhoffer, Jan Schulz

Published in: Complex Networks & Their Applications X

Publisher: Springer International Publishing

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Abstract

This chapter delves into the critical issue of misperceptions surrounding gender and racial wage gaps, highlighting the significant role of social networks and biased information processing in shaping these perceptions. By employing a sophisticated network model, the authors test various explanations for these misperceptions, including the impact of segregated social networks and the influence of global signals. The model is calibrated with empirical data, revealing that both local and global information contribute to wage gap perceptions, with underprivileged groups placing more weight on global signals. The findings have important implications for public policy and education, suggesting that addressing wage gap misperceptions requires targeted interventions to enhance the understanding of objective evidence among privileged groups.
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previous chapter Asymmetric Diffusion in a Complex Network: The Presence of Women on Boards
next chapter A Networked Global Economy: The Role of Social Capital in Economic Growth
Footnotes
1
We opt for this particular approximation because it is symmetric [27] and bounded in \([-2,2]\) and thus more robust against outliers [7]. Our results are not materially sensitive to the specific symmetric approximation of the growth rate and very similar to the more common approximation by log-differences.
 
2
In an interesting complementary perspective, [13] demonstrate that also the actual (gender) inequities we take as given can emerge purely based on interpersonal comparisons based on similarity, much like our local signal for perceptions.
 
3
We selected empirically probable values of g and \(\rho \) for presentation, but the heatmaps for other parameter combinations display similar complexity and non-monotonicity. Indeed, the association between income, diversity and the wage gap is even more discontinuous and non-monotonic, as the rather rugged landscapes for perceptions in all panels suggest. All heatmaps are available upon request.
 
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Metadata
Title
Marginalisation and Misperception: Perceiving Gender and Racial Wage Gaps in Ego Networks
Authors
Daniel M. Mayerhoffer
Jan Schulz
Copyright Year
2022
Book
Complex Networks & Their Applications X

Print ISBN: 978-3-030-93408-8

Electronic ISBN: 978-3-030-93409-5

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-93409-5_63

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