The Econometric Analysis of Network Data
| Author | : | |
| Rating | : | 4.49 (795 Votes) |
| Asin | : | 0128117710 |
| Format Type | : | paperback |
| Number of Pages | : | 320 Pages |
| Publish Date | : | 2014-01-27 |
| Language | : | English |
DESCRIPTION:
. While a multi-contributor references, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. It introduces the key results and ideas in an accessible, yet rigorous way, confining formal proofs to extensively annotated appendices. From the Back CoverThe 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. Each of the six very long contributions includes worked examples, describes relevant computational tools, provides a number of illustrative examples, and is supported by a companion site code repository
His work has appeared in Econometrica and the Review of Economic Studies. . 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 R
It introduces the key results and ideas in an accessible, yet rigorous way, confining formal proofs to extensively annotated appendices. Each of the six worked examples describes relevant computational tools and provides a number of illustrative examples that are supported by a companion site code repository.Answers both the ‘why’ and ‘how’ questions in network analysisDescribes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the ‘state-of-the-art’Supported by a companion site code repository that detai