The Econometric Analysis of Network Data
The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an...
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The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice.
Bibliographische Angaben
- Herausgegeben:Graham, Bryan; de Paula, Aureo
- Verlag: Academic Press
- EAN: 9780128117712
Autoren-Porträt
Bryan Graham is a Professor of Economics at the University of California - Berkeley. His research focuses on missing data, panel data and, especially, the analysis of social networks and spillovers. His work has appeared in Econometrica and the Review of Economic Studies. Bryan is a co-editor at the Review of Economics and Statistics.Aureo de Paula is a Professor of Economics at University College London. His research focuses on the econometric analysis of games and networks. His work has appeared in Econometrica and the Review of Economic Studies. Aureo was also a co-editor at the Review of Economic Studies.
Inhaltsverzeichnis zu „The Econometric Analysis of Network Data “
1. Introduction2. Dyadic regression
3. Strategic network formation
4. Testing for externalities in network formation using simulation
5. Econometric analysis of bipartite networks
6. An empirical model for strategic network formation
7. Econometric analysis of models with social interactions
8. Many player asymptotics for large network formation problems
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