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The Econometric Analysis of Network Data
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About The Econometric Analysis Of Network Data
Product Description 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. Review Presents a compact and accessible book that comprehensively summarizes modern techniques for the rigorous analysis of social and economic network data From the Back Cover 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, confining formal proofs to extensively annotated appendices. While a multi-contributor references, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. 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. About the Author 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.
