A Social Network Analysis of Occupational Segregation
April 20, 2020 ยท Declared Dead ยท ๐ Journal of Economic Dynamics and Control
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
I. Sebastian Buhai, Marco J. van der Leij
arXiv ID
2004.09293
Category
econ.TH
Cross-listed
cs.SI
Citations
21
Venue
Journal of Economic Dynamics and Control
Last Checked
1 month ago
Abstract
We propose an equilibrium interaction model of occupational segregation and labor market inequality between two social groups, generated exclusively through the documented tendency to refer informal job seekers of identical "social color". The expected social color homophily in job referrals strategically induces distinct career choices for individuals from different social groups, which further translates into stable partial occupational segregation equilibria with sustained wage and employment inequality -- in line with observed patterns of racial or gender labor market disparities. Supporting the qualitative analysis with a calibration and simulation exercise, we furthermore show that both first and second best utilitarian social optima entail segregation, any integration policy requiring explicit distributional concerns. Our framework highlights that the mere social interaction through homophilous contact networks can be a pivotal channel for the propagation and persistence of gender and racial labor market gaps, complementary to long studied mechanisms such as taste or statistical discrimination.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ econ.TH
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Measuring the Completeness of Theories
R.I.P.
๐ป
Ghosted
Interactive coin offerings
R.I.P.
๐ป
Ghosted
Allocating marketing resources over social networks: A long-term analysis
R.I.P.
๐ป
Ghosted
Approximately Optimal Mechanism Design
R.I.P.
๐ป
Ghosted
Artificial intelligence and the skill premium
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted