The Econometric Analysis Of Network Data

Author : Bryan Graham,Aureo de Paula
Publisher : Academic Press
Page : 244 pages
File Size : 44,9 Mb
Release : 2020-06-03
Category : Business & Economics
ISBN : 9780128117712

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The Econometric Analysis of Network Data by Bryan Graham,Aureo de Paula Pdf

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

Author : Bryan Graham,Aureo de Paula
Publisher : Academic Press
Page : 246 pages
File Size : 48,6 Mb
Release : 2020-05-15
Category : Business & Economics
ISBN : 9780128117729

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The Econometric Analysis of Network Data by Bryan Graham,Aureo de Paula Pdf

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

Author : Áureo de Paula,Elie Tamer,Marcel-Cristian Voia
Publisher : Emerald Group Publishing
Page : 353 pages
File Size : 43,8 Mb
Release : 2020-10-19
Category : Business & Economics
ISBN : 9781838675776

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The Econometrics of Networks by Áureo de Paula,Elie Tamer,Marcel-Cristian Voia Pdf

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 dialogue between academics and practitioners for better understanding this groundbreaking field.

Author : Tony Lancaster
Publisher : Cambridge University Press
Page : 380 pages
File Size : 54,5 Mb
Release : 1990
Category : Business & Economics
ISBN : 052143789X

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The Econometric Analysis of Transition Data by Tony Lancaster Pdf

This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric specification. A final section treats graphical and numerical methods of specification testing. This is the first published exposition of current econometric methods for the study of duration data.

Author : Eric D. Kolaczyk
Publisher : Unknown
Page : 399 pages
File Size : 49,8 Mb
Release : 2009
Category : System analysis
ISBN : OCLC:990607226

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Statistical Analysis of Network Data by Eric D. Kolaczyk Pdf

Covers the foundations common to the statistical analysis of network data across the disciplines. This book contains topics that include network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows.

Author : Sloboda, Brian W.,Sissoko, Yaya
Publisher : IGI Global
Page : 264 pages
File Size : 55,6 Mb
Release : 2020-06-01
Category : Business & Economics
ISBN : 9781799810957

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Applied Econometric Analysis: Emerging Research and Opportunities by Sloboda, Brian W.,Sissoko, Yaya Pdf

Professionals are constantly searching for competitive solutions to help determine current and future economic tendencies. Econometrics uses statistical methods and real-world data to predict and establish specific trends within business and finance. This analytical method sustains limitless potential, but the necessary research for professionals to understand and implement this approach is lacking. Applied Econometric Analysis: Emerging Research and Opportunities explores the theoretical and practical aspects of detailed econometric theories and applications within economics, political science, public policy, business, and finance. 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 graduate students seeking research on the various techniques of econometric concepts.

Author : Yann Bramoullé,Andrea Galeotti,Brian Rogers
Publisher : Oxford University Press
Page : 608 pages
File Size : 41,9 Mb
Release : 2016-03-01
Category : Business & Economics
ISBN : 9780190216832

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The Oxford Handbook of the Economics of Networks by Yann Bramoullé,Andrea Galeotti,Brian Rogers Pdf

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 decision making, opinion formation, and diffusion dynamics. From a methodological perspective, the contributors to this volume devote attention to theory, field experiments, laboratory experiments, and econometrics. Theoretical work in network formation, games played on networks, repeated games, and the interaction between linking and behavior is synthesized. A number of chapters are devoted to studying social process mediated by networks. Topics here include opinion formation, diffusion of information and disease, and learning. There are also chapters devoted to financial contagion and systemic risk, motivated in part by the recent financial crises. Another section discusses communities, with applications including social trust, favor exchange, and social collateral; the importance of communities for migration patterns; and the role that networks and communities play in the labor market. A prominent role of networks, from an economic perspective, is that they mediate trade. Several chapters cover bilateral trade in networks, strategic intermediation, and the role of networks in international trade. Contributions discuss as well the role of networks for organizations. On the one hand, one chapter discusses the role of networks for the performance of organizations, while two other chapters discuss managing networks of consumers and pricing in the presence of network-based spillovers. Finally, the authors discuss the internet as a network with attention to the issue of net neutrality.

Author : Eric D. Kolaczyk,Gábor Csárdi
Publisher : Springer
Page : 228 pages
File Size : 53,7 Mb
Release : 2020-06-03
Category : Computers
ISBN : 3030441288

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Statistical Analysis of Network Data with R by Eric D. Kolaczyk,Gábor Csárdi Pdf

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. The new edition of this book includes an overhaul to recent changes in igraph. The material in this book is organized to flow from descriptive statistical methods to topics centered on modeling and inference with networks, with the latter separated into two sub-areas, corresponding first to the modeling and inference of networks themselves, and then, to processes on networks. The book begins by covering tools for the manipulation of network data. Next, it addresses visualization and characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.

Author : Valery A. Kalyagin,Panos M. Pardalos,Themistocles M. Rassias
Publisher : Springer
Page : 295 pages
File Size : 40,9 Mb
Release : 2014-09-23
Category : Mathematics
ISBN : 9783319096834

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Network Models in Economics and Finance by Valery A. Kalyagin,Panos M. Pardalos,Themistocles M. Rassias Pdf

Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena. This volume presents contributions by known experts and active researchers in economic and financial network modeling. Readers are provided with an understanding of the latest advances in network analysis as applied to economics, finance, corporate governance, and investments. Moreover, recent advances in market network analysis that focus on influential techniques for market graph analysis are also examined. Young researchers will find this volume particularly useful in facilitating their introduction to this new and fascinating field. Professionals in economics, financial management, various technologies, and network analysis, will find the network models presented in this book beneficial in analyzing the interconnectivity in modern economic systems.

Author : Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana
Publisher : Springer Nature
Page : 357 pages
File Size : 44,9 Mb
Release : 2021
Category : Application software
ISBN : 9783030668914

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Data Science for Economics and Finance by Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana Pdf

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 applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Author : Yves Croissant,Giovanni Millo
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 40,8 Mb
Release : 2018-08-10
Category : Mathematics
ISBN : 9781118949184

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Panel Data Econometrics with R by Yves Croissant,Giovanni Millo Pdf

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book’s accompanying website.

Author : Erik Brynjolfsson,International Financial Services Research Center
Publisher : Unknown
Page : 40 pages
File Size : 43,8 Mb
Release : 1995
Category : Electronic
ISBN : OCLC:45811585

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Network Externalities in Microcomputer Software by Erik Brynjolfsson,International Financial Services Research Center Pdf

Author : Erik Brynjolfsson,Chris F. Kemerer
Publisher : Franklin Classics Trade Press
Page : 42 pages
File Size : 49,7 Mb
Release : 2018-11-11
Category : Business & Economics
ISBN : 0353293407

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Network Externalities in Microcomputer Software: An Econometric Analysis of the Spreadsheet Market by Erik Brynjolfsson,Chris F. Kemerer Pdf

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author : Gordon C. R. Kemp
Publisher : Unknown
Page : 36 pages
File Size : 44,5 Mb
Release : 1992
Category : Electronic
ISBN : OCLC:848975840

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The Use of Panel Data in Econometric Analysis: a Survey by Gordon C. R. Kemp Pdf

Author : Fernando Vega-Redondo
Publisher : Cambridge University Press
Page : 316 pages
File Size : 50,6 Mb
Release : 2007-01-08
Category : Business & Economics
ISBN : 0521674093

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Complex Social Networks by Fernando Vega-Redondo Pdf

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