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The Econometric Analysis Of Network Data

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The Econometric Analysis of Network Data

The Econometric Analysis of Network Data Book
Author : Bryan Graham,Aureo de Paula
Publisher : Academic Press
Release : 2020-06-01
ISBN : 0128117729
Language : En, Es, Fr & De

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Book 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. 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 Econometrics of Networks

The Econometrics of Networks Book
Author : Áureo de Paula,Elie Tamer,Marcel-Cristian Voia
Publisher : Emerald Group Publishing
Release : 2020-10-19
ISBN : 1838675779
Language : En, Es, Fr & De

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Book Description :

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.

Applied Spatial Statistics and Econometrics

Applied Spatial Statistics and Econometrics Book
Author : Katarzyna Kopczewska
Publisher : Routledge
Release : 2020-11-26
ISBN : 1000079783
Language : En, Es, Fr & De

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Book Description :

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.

Network Theory and Agent Based Modeling in Economics and Finance

Network Theory and Agent Based Modeling in Economics and Finance Book
Author : Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji
Publisher : Springer Nature
Release : 2019-10-23
ISBN : 9811383197
Language : En, Es, Fr & De

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Book Description :

This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Statistical Analysis of Network Data

Statistical Analysis of Network Data Book
Author : Eric D. Kolaczyk
Publisher : Springer Science & Business Media
Release : 2009-04-20
ISBN : 0387881468
Language : En, Es, Fr & De

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Book Description :

In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.

Panel Data Econometrics with R

Panel Data Econometrics with R Book
Author : Yves Croissant,Giovanni Millo
Publisher : John Wiley & Sons
Release : 2018-08-10
ISBN : 1118949188
Language : En, Es, Fr & De

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Book Description :

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.

Data Science for Economics and Finance

Data Science for Economics and Finance Book
Author : Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana
Publisher : Springer Nature
Release : 2021
ISBN : 3030668916
Language : En, Es, Fr & De

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Book Description :

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.

Spatial Analysis Using Big Data

Spatial Analysis Using Big Data Book
Author : Yoshiki Yamagata,Hajime Seya
Publisher : Academic Press
Release : 2019-11-03
ISBN : 0128131322
Language : En, Es, Fr & De

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Book Description :

Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others. Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science Provides computer codes written in R, MATLAB and Python to help implement methods Applies these methods to common problems observed in urban and regional economics

Applied Econometrics with R

Applied Econometrics with R Book
Author : Christian Kleiber,Achim Zeileis
Publisher : Springer Science & Business Media
Release : 2008-12-10
ISBN : 0387773185
Language : En, Es, Fr & De

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Book Description :

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

Applied Econometric Analysis Emerging Research and Opportunities

Applied Econometric Analysis  Emerging Research and Opportunities Book
Author : Sloboda, Brian W.,Sissoko, Yaya
Publisher : IGI Global
Release : 2020-06-01
ISBN : 179981095X
Language : En, Es, Fr & De

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Book Description :

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.

The Econometrics of Structural Change Neural Network and Panel Data Analysis

The Econometrics of Structural Change  Neural Network and Panel Data Analysis Book
Author : Chien-Fu Jeff Lin
Publisher : Unknown
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download The Econometrics of Structural Change Neural Network and Panel Data Analysis book written by Chien-Fu Jeff Lin, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Causal Inference in Econometrics

Causal Inference in Econometrics Book
Author : Van-Nam Huynh,Vladik Kreinovich,Songsak Sriboonchitta
Publisher : Springer
Release : 2015-12-28
ISBN : 3319272845
Language : En, Es, Fr & De

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Book Description :

This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.

Econometric Analysis of Count Data

Econometric Analysis of Count Data Book
Author : Rainer Winkelmann
Publisher : Springer Science & Business Media
Release : 2013-11-27
ISBN : 3662034654
Language : En, Es, Fr & De

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Book Description :

This monograph deals with econometric models for the analysis of event counts. The interest of econometricians in this class of models has started in the mid-eighties. After more than one decade of intensive research, the litera ture has reached a level of maturity that calls for a systematic and accessible exposition of the main results and methods. Such an exposition is the aim of the book. Count data models have found their way into the curricula of micro-econometric classes and are available on standard computer software. The basic methods have been used in countless applications in fields such as labor economics, health economics, insurance economics, urban economics, and economic demography, to name but a few. Other, more recent, methods are poised to become standard tools soon. While the book is oriented towards the empirical economists and applied econometrician, it should be useful to statisticians and biometricians as well. A first edition of this book was published in 1994 under the title "Count Data Models - Econometric Theory and an Application to Labor Mobility" . While this edition keeps the character and broad organization of this first edition, and its emphasis on combining a summary of the existing literature with several new results and methods, it is substantially revised and enlarged. Many parts have been completely rewritten and several new sections have New sections include: count data models for dependent processes; been added.

The Behavioral and Social Sciences

The Behavioral and Social Sciences Book
Author : National Research Council,Division of Behavioral and Social Sciences and Education,Commission on Behavioral and Social Sciences and Education,Committee on Basic Research in the Behavioral and Social Sciences
Publisher : National Academies Press
Release : 1988-02-01
ISBN : 0309037492
Language : En, Es, Fr & De

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Book Description :

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

Inferential Network Analysis

Inferential Network Analysis Book
Author : Skyler J. Cranmer,Bruce A. Desmarais,Jason W. Morgan
Publisher : Cambridge University Press
Release : 2020-11-19
ISBN : 1107158125
Language : En, Es, Fr & De

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Book Description :

Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.

Data Analysis for Business Economics and Policy

Data Analysis for Business  Economics  and Policy Book
Author : Gábor Békés,Gábor Kézdi
Publisher : Cambridge University Press
Release : 2021-05-06
ISBN : 1108483011
Language : En, Es, Fr & De

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Book Description :

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Econometric Analysis of Stochastic Dominance

Econometric Analysis of Stochastic Dominance Book
Author : Yoon-Jae Whang
Publisher : Cambridge University Press
Release : 2018-12-31
ISBN : 1108472796
Language : En, Es, Fr & De

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Book Description :

Provides a comprehensive analysis of stochastic dominance through coverage of concepts, methods of estimation, inferential tools, and applications.

Regression Analysis of Count Data

Regression Analysis of Count Data Book
Author : A. Colin Cameron,Pravin K. Trivedi
Publisher : Cambridge University Press
Release : 2013-05-27
ISBN : 1107014166
Language : En, Es, Fr & De

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Book Description :

This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

Networks Crowds and Markets

Networks  Crowds  and Markets Book
Author : David Easley,Jon Kleinberg
Publisher : Cambridge University Press
Release : 2010-07-19
ISBN : 9781139490306
Language : En, Es, Fr & De

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Book Description :

Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the Internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.

Structural Analysis of Discrete Data with Econometric Applications

Structural Analysis of Discrete Data with Econometric Applications Book
Author : Charles F. Manski,Daniel McFadden
Publisher : Mit Press
Release : 1981
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The thirteen papers in "Structural Analysis of Discrete Data" are previously unpublished major research contributions solicited by the editors. They have been specifically prepared to fulfill the two-fold purpose of the volume, first to provide the econometrics student with an overview of the present extent of the subject and to delineate the boundaries of current research, both in terms of methodology and applications. "Coordinated publication of important findings" should, as the editors state, "lower the cost of entry into the field and speed dissemination of recent research into the graduate econometrics classroom."A second purpose of the volume is to communicate results largely reported in the econometrics literature to a wider community of researchers to whom they are directly relevant, including applied econometricians, statisticians in the area of discrete multivariate analysis, specialists in biometrics, psychometrics, and sociometrics, and analysts in various applied fields such as finance, marketing, and transportation.The papers are grouped into four sections: "Statistical Analysis of Discrete Probability Models, " with papers by the editors and by Steven Cosslett; "Dynamic Discrete Probability Models, " consisting of two contributions by James Heckman; "Structural Discrete Probability Models Derived from Theories of Choice, " with papers by Daniel McFadden, Gregory Fischer and Daniel Nagin, Steven Lerman and Charles Manski, and Moshe Ben-Akiva and Thawat Watanatada; and "Simultaneous Systems Models with Discrete Endogenous Variables, " with contributions by Lung-Fei Lee, Jerry Hausman and David Wise, Dale Poirier, Peter Schmidt, and Robert Avery.Among the applications treated are income maintenance experiments, physician behavior, consumer credit, and intra-urban location and transportation.