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. Answers both 'why' and 'how' questions in network analysis, bridging the gap between practice and theory allowing for the easier entry of novices into complex technical literature and computation Fully describes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the 'state of the art' versioned for their domain environment, saving them time and money Disciplined structure provides latitude for multiple sources of expertise while retaining an integrated and pedagogically focused authorial voice, ensuring smooth transition and easy progression for readers Fully supported by companion site code repository 40+ diagrams of 'networks in the wild' help visually summarize key points
The Oxford Handbook of the Economics of Networks represents the frontier of research into how and why networks they form, how they influence behavior, how they help govern outcomes in an interactive world, and how they shape collective ...
Showcasing fresh methodological and empirical research on the econometrics of networks, and comprising both theoretical, empirical and policy papers, the authors in this volume bring together a wide range of perspectives to facilitate a ...
Rauch, J., and A. Cassella, eds. (2001) Networks and Markets, New York: Russell Sage Foundation. Reed, B. (2003) “The Height of a Random Binary Search Tree,” Journal of the ACM 50(3):306–332. Rees, A. (1966) “Information Networks in ...
This is the first published exposition of current econometric methods for the study of duration data. This book presents statistical methods for analysis of the duration of events.
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for ...
Featuring coverage on a broad range of topics such as cointegration, machine learning, and time series analysis, this book is ideally designed for economists, policymakers, financial analysts, marketers, researchers, academicians, and ...
Panel Data Econometrics with R A practical guide to using R in the growing field of panel data econometrics This book serves as a tutorial for using R in the field of panel data econometrics, illustrated throughout with examples in ...
This important book consists of surveys of high-frequency financial data analysis and econometric forecasting, written by pioneers in these areas including Nobel laureate Lawrence Klein.
This is the first book on applied econometrics using the R system for statistical computing and graphics.
This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena.