Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit company supported by Deutsche Post World Net. The center is associated with the University of Bonn and offers a stimulating research environment through its research networks, research support, and visitors and doctoral programs. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public.
Terms of use:
Documents in
D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. We provide a matching model where identical workers are embedded in ex-ante identical social networks. Job arrival rate is endogenous and wages are bargained. We study the evolution of networks over time and characterize the equilibrium distribution of unemployment rates across networks. We emphasize that wage dispersion arises endogenously as the consequence of the dynamics of networks, firms' strategies and wage bargaining. Moreover, contrary to a generally accepted idea, social networks do not necessary induce stickiness in unemployment dynamics. Our endogenous matching technology shows that the effects of networks on the dynamics mostly hinge on search externalities. Our endogenous framework allows us to quantify these effects.JEL Classification: E24, J64, J68