Abstract
We use a new and unique dataset combining social network data from Call Detail Records with employment information on mobile phone subscribers to study the role of information networks on job market outcomes. The novel contribution of our work is to focus on the effect of actual social connections beyond that associated to living in the same neighborhood. We find that the propensity to work together is two orders of magnitude greater for a pair of neighbors who call each other than that for a pair of neighbors who do not, suggesting that actual social ties play a significant role in learning about job opportunities. We also find that social networks play a stronger role in less privileged neighborhoods, which provides some evidence that social networks may be unable to mitigate the insulation problems of such neighborhoods.
| Original language | English |
|---|---|
| Title of host publication | 2015 International Conference on Information Systems |
| Subtitle of host publication | Exploring the Information Frontier, ICIS 2015 |
| Publisher | Association for Information Systems |
| ISBN (Print) | 9780996683111 |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 - Fort Worth, United States Duration: 13 Dec 2015 → 16 Dec 2015 |
Publication series
| Name | 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 |
|---|
Conference
| Conference | 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 |
|---|---|
| Country/Territory | United States |
| City | Fort Worth |
| Period | 13/12/15 → 16/12/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 8 Decent Work and Economic Growth
Keywords
- Call detail records
- Job information networks
Fingerprint
Dive into the research topics of 'Understanding the role of social networks on labor market outcomes using a large dataset from a mobile network'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver