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The Econometric Analysis of Network Data

  • Book

  • May 2020
  • Elsevier Science and Technology
  • ID: 4226551

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.

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Table of Contents

1. Introduction
2. 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

Authors

Bryan Graham University of California, Berkeley. 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 Professor of Economics, University College London, UK. 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.