How do social networks contribute to wage inequality? Insights from an agent-based analysis

Dawid H, Gemkow S (2014)
Industrial and Corporate Change 23(5): 1171-1200.

Journal Article | Published | English

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Abstract
Based on a closed agent-based macroeconomic simulation model (Eurace@Unibi) this paper analyzes whether the density of social networks influences via referrals the residual wage inequality in different skill groups. It is shown that an increase in network density leads to a polarization of firms and a concentration of workers with high specific skills at firms with high productivities (and wages) thereby enlarging within group wage inequality, but not between group wage inequality.
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Dawid H, Gemkow S. How do social networks contribute to wage inequality? Insights from an agent-based analysis. Industrial and Corporate Change. 2014;23(5):1171-1200.
Dawid, H., & Gemkow, S. (2014). How do social networks contribute to wage inequality? Insights from an agent-based analysis. Industrial and Corporate Change, 23(5), 1171-1200.
Dawid, H., and Gemkow, S. (2014). How do social networks contribute to wage inequality? Insights from an agent-based analysis. Industrial and Corporate Change 23, 1171-1200.
Dawid, H., & Gemkow, S., 2014. How do social networks contribute to wage inequality? Insights from an agent-based analysis. Industrial and Corporate Change, 23(5), p 1171-1200.
H. Dawid and S. Gemkow, “How do social networks contribute to wage inequality? Insights from an agent-based analysis”, Industrial and Corporate Change, vol. 23, 2014, pp. 1171-1200.
Dawid, H., Gemkow, S.: How do social networks contribute to wage inequality? Insights from an agent-based analysis. Industrial and Corporate Change. 23, 1171-1200 (2014).
Dawid, Herbert, and Gemkow, Simon. “How do social networks contribute to wage inequality? Insights from an agent-based analysis”. Industrial and Corporate Change 23.5 (2014): 1171-1200.
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