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 reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Each of the six contributions includes worked examples, describes relevant computational tools, provides a number of illustrative examples, and is supported by a companion site code repository. Answers both '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'Fully supported by a companion site code repository that details simulations and representative empirical applications in Python, MATLAB, C++Includes 40+ diagrams of 'networks in the wild' that help visually summarize key points INDICE: 1. Introduction to network data 2. Network formation with heterogenous agents 3. Network formation with strategic agents 4. Many player asymptotics for large network formation problems 5. Methods for the analysis of bipartite networks 6. Additional methods
- ISBN: 978-0-12-811771-2
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 320
- Fecha Publicación: 01/10/2017
- Nº Volúmenes: 1
- Idioma: Inglés