
handle: 10419/149751
We employ a unique dataset on members of an elite service club in Germany to investigate how social connections in elite networks affect the allocation of resources. Specifically, we investigate credit allocation decisions of banks to firms inside the network. Using a quasi-experimental research design, we document misallocation of bank credit inside the network, with bankers with weakly aligned incentives engaging most actively in crony lending. Our findings, thus, resonate with existing theories of elite networks as rent extractive coalitions that stifle economic prosperity.
G28, LG, 330, ddc:330, F37, EEK, K39, Credit management, Social classes, G21, F34, G33, TJ, Resource allocation, jel: jel:G21, jel: jel:F34, jel: jel:G33, jel: jel:G28, jel: jel:F37, jel: jel:K39, ddc: ddc:330
G28, LG, 330, ddc:330, F37, EEK, K39, Credit management, Social classes, G21, F34, G33, TJ, Resource allocation, jel: jel:G21, jel: jel:F34, jel: jel:G33, jel: jel:G28, jel: jel:F37, jel: jel:K39, ddc: ddc:330
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 99 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
