Wages and Employment in a Random Social Network with Arbitrary Degree Distribution.

Ioannides, Yannis Menelaos.
Soetevent, Adriaan R.
2006

This paper shows analytically that workers who are better connected socially experience lower unemployment rates and receive higher wage rates in the average. It represents social connections in the labor market by a random graph, with nodes as individuals and edges as connections. The number of others each individual is connected with, the "degree," obeys an arbitrary probability distribution. In... read more

Subjects
Economics.
Social networks.
Unemployment.
Wages.
Tufts University. Department of Economics.
Permanent URL
http://hdl.handle.net/10427/008981
Original publication
Ioannides, Yannis M. and Adriaan R. Soetevent. 2006. "Wages and Employment in a Random Social Network with Arbitrary Degree Distribution." American Economic Review 96(2): 270-274. doi: 10.1257/000282806777212062.
ID: tufts:16905
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