The Econometric Analysis of Network Data

The Econometric Analysis of Network Data
Author: Bryan Graham,Aureo de Paula
Publsiher: Academic Press
Total Pages: 244
Release: 2020-06-01
ISBN 10: 0128117729
ISBN 13: 9780128117729
Language: EN, FR, DE, ES & NL

The Econometric Analysis of Network Data Book Review:

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

Exam Prep for The Econometric Analysis of Network Data

Exam Prep for  The Econometric Analysis of Network Data
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2021
ISBN 10:
ISBN 13:
Language: EN, FR, DE, ES & NL

Exam Prep for The Econometric Analysis of Network Data Book Review:

The Oxford Handbook of the Economics of Networks

The Oxford Handbook of the Economics of Networks
Author: Yann Bramoullé,Andrea Galeotti,Brian Rogers
Publsiher: Oxford University Press
Total Pages: 608
Release: 2016-03-01
ISBN 10: 0190216832
ISBN 13: 9780190216832
Language: EN, FR, DE, ES & NL

The Oxford Handbook of the Economics of Networks Book Review:

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.

Econometric Analysis of Health Data

Econometric Analysis of Health Data
Author: Andrew M. Jones,Owen O'Donnell
Publsiher: John Wiley & Sons
Total Pages: 246
Release: 2002-05-17
ISBN 10: 9780470841457
ISBN 13: 0470841451
Language: EN, FR, DE, ES & NL

Econometric Analysis of Health Data Book Review:

Given extensive use of individual level data in Health Economics, it has become increasingly important to understand the microeconometric techniques available to applied researchers. The purpose of this book is to give readers convenient access to a collection of recent contributions that contain innovative applications of microeconometric methods to data on health and health care. Contributions are selected from papers presented at the European Workshops on Econometrics and Health Economics and published in Health Economics. Topics covered include: * Latent Variables * Unobservable heterogeneity and selection problems * Count data and survival analysis * Flexible and semiparametric estimators for limited dependent variables * Classical and simulation methods for panel data * Publication marks the tenth anniversary of the Workshop series. Doctoral students and researchers in health economics and microeconomics will find this book invaluable. Researchers in related fields such as labour economics and biostatistics will also find the content of use.

The Econometrics of Networks

The Econometrics of Networks
Author: Áureo de Paula,Elie Tamer,Marcel-Cristian Voia
Publsiher: Emerald Group Publishing
Total Pages: 496
Release: 2020-10-19
ISBN 10: 1838675779
ISBN 13: 9781838675776
Language: EN, FR, DE, ES & NL

The Econometrics of Networks Book Review:

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.

Econometric Analysis of Model Selection and Model Testing

Econometric Analysis of Model Selection and Model Testing
Author: M. Ishaq Bhatti,Hatem Al-Shanfari
Publsiher: Routledge
Total Pages: 384
Release: 2017-03-02
ISBN 10: 135194195X
ISBN 13: 9781351941952
Language: EN, FR, DE, ES & NL

Econometric Analysis of Model Selection and Model Testing Book Review:

In recent years econometricians have examined the problems of diagnostic testing, specification testing, semiparametric estimation and model selection. In addition researchers have considered whether to use model testing and model selection procedures to decide the models that best fit a particular dataset. This book explores both issues with application to various regression models, including the arbitrage pricing theory models. It is ideal as a reference for statistical sciences postgraduate students, academic researchers and policy makers in understanding the current status of model building and testing techniques.

Panel Data Econometrics

Panel Data Econometrics
Author: Mike Tsionas
Publsiher: Academic Press
Total Pages: 1011
Release: 2019-06-20
ISBN 10: 0128158603
ISBN 13: 9780128158609
Language: EN, FR, DE, ES & NL

Panel Data Econometrics Book Review:

Panel Data Econometrics: Empirical Applications introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. Provides a vast array of empirical applications useful to practitioners from different application environments Accompanied by extensive case studies and empirical exercises Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts

Panel Data Econometrics with R

Panel Data Econometrics with R
Author: Yves Croissant,Giovanni Millo
Publsiher: John Wiley & Sons
Total Pages: 328
Release: 2018-08-10
ISBN 10: 1118949188
ISBN 13: 9781118949184
Language: EN, FR, DE, ES & NL

Panel Data Econometrics with R Book Review:

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.

Econometric Analysis of Count Data

Econometric Analysis of Count Data
Author: Rainer Winkelmann
Publsiher: Springer Science & Business Media
Total Pages: 282
Release: 2013-06-29
ISBN 10: 3662041499
ISBN 13: 9783662041499
Language: EN, FR, DE, ES & NL

Econometric Analysis of Count Data Book Review:

The primary objective of this book is to provide an introduction to the econometric modeling of count data for graduate students and researchers. It should serve anyone whose interest lies either in developing the field fur ther, or in applying existing methods to empirical questions. Much of the material included in this book is not specific to economics, or to quantita tive social sciences more generally, but rather extends to disciplines such as biometrics and technometrics. Applications are as diverse as the number of congressional budget vetoes, the number of children in a household, and the number of mechanical defects in a production line. The unifying theme is a focus on regression models in which a dependent count variable is modeled as a function of independent variables which mayor may not be counts as well. The modeling of count data has come of age. Inclusion of some of the fundamental models in basic textbooks, and implementation on standard computer software programs bear witness to that. Based on the standard Poisson regression model, numerous extensions and alternatives have been developed to address the common challenges faced in empirical modeling (unobserved heterogeneity, selectivity, endogeneity, measurement error, and dependent observations in the context of panel data or multivariate data, to name but a few) as well as the challenges that are specific to count data (e. g. , over dispersion and underdispersion).

The Econometrics of Structural Change Neural Network and Panel Data Analysis

The Econometrics of Structural Change  Neural Network and Panel Data Analysis
Author: Chien-Fu Jeff Lin
Publsiher: Unknown
Total Pages: 424
Release: 1992
ISBN 10:
ISBN 13: UCSD:31822005087275
Language: EN, FR, DE, ES & NL

The Econometrics of Structural Change Neural Network and Panel Data Analysis Book Review:

Applied Econometric Analysis Emerging Research and Opportunities

Applied Econometric Analysis  Emerging Research and Opportunities
Author: Sloboda, Brian W.,Sissoko, Yaya
Publsiher: IGI Global
Total Pages: 264
Release: 2020-06-01
ISBN 10: 179981095X
ISBN 13: 9781799810957
Language: EN, FR, DE, ES & NL

Applied Econometric Analysis Emerging Research and Opportunities Book Review:

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 Econometric Analysis of Non Stationary Spatial Panel Data

The Econometric Analysis of Non Stationary Spatial Panel Data
Author: Michael Beenstock,Daniel Felsenstein
Publsiher: Springer
Total Pages: 275
Release: 2019-03-27
ISBN 10: 3030036146
ISBN 13: 9783030036140
Language: EN, FR, DE, ES & NL

The Econometric Analysis of Non Stationary Spatial Panel Data Book Review:

This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial nonstationarity in spatial cross-section data, and a full exposition of non-stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models. The book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time critical values for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel.

Econometrics For Dummies

Econometrics For Dummies
Author: Roberto Pedace
Publsiher: John Wiley & Sons
Total Pages: 368
Release: 2013-06-05
ISBN 10: 1118533879
ISBN 13: 9781118533871
Language: EN, FR, DE, ES & NL

Econometrics For Dummies Book Review:

Score your highest in econometrics? Easy. Econometrics can prove challenging for many students unfamiliar with the terms and concepts discussed in a typical econometrics course. Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of economics. Econometrics For Dummies breaks down this complex subject and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations. An excellent resource for anyone participating in a college or graduate level econometrics course Provides you with an easy-to-follow introduction to the techniques and applications of econometrics Helps you score high on exam day If you're seeking a degree in economics and looking for a plain-English guide to this often-intimidating course, Econometrics For Dummies has you covered.

Spatial Analysis Using Big Data

Spatial Analysis Using Big Data
Author: Yoshiki Yamagata,Hajime Seya
Publsiher: Academic Press
Total Pages: 302
Release: 2019-11-03
ISBN 10: 0128131322
ISBN 13: 9780128131329
Language: EN, FR, DE, ES & NL

Spatial Analysis Using Big Data Book Review:

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

Social and Economic Networks

Social and Economic Networks
Author: Matthew O. Jackson
Publsiher: Princeton University Press
Total Pages: 520
Release: 2010-11-01
ISBN 10: 9781400833993
ISBN 13: 140083399X
Language: EN, FR, DE, ES & NL

Social and Economic Networks Book Review:

Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function. This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.

Algorithms and Models for Network Data and Link Analysis

Algorithms and Models for Network Data and Link Analysis
Author: François Fouss,Marco Saerens,Masashi Shimbo
Publsiher: Cambridge University Press
Total Pages: 543
Release: 2016-07-12
ISBN 10: 1107125774
ISBN 13: 9781107125773
Language: EN, FR, DE, ES & NL

Algorithms and Models for Network Data and Link Analysis Book Review:

A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.

Econometrics

Econometrics
Author: American Bar Association. Section of Antitrust Law
Publsiher: American Bar Association
Total Pages: 498
Release: 2005
ISBN 10: 9781590315170
ISBN 13: 1590315170
Language: EN, FR, DE, ES & NL

Econometrics Book Review:

"The economic expert has become a central figure in virtually every antitrust litigation or merger matter, and the importance of econometrics has increased significantly. A basic understanding of econometric principles has now become almost essential to the serious antitrust practitioner. This volume is designed to introduce lawyers to the theoretical and practical issues of econometrics, providing necessary tools for working effectively with economic experts on both sides of a matter." -- from the Foreword, p. xv.

Optimisation Econometric and Financial Analysis

Optimisation  Econometric and Financial Analysis
Author: Erricos Kontoghiorghes,Cristian Gatu
Publsiher: Springer Science & Business Media
Total Pages: 278
Release: 2007-05-17
ISBN 10: 3540366261
ISBN 13: 9783540366263
Language: EN, FR, DE, ES & NL

Optimisation Econometric and Financial Analysis Book Review:

This book addresses issues associated with the interface of computing, optimisation, econometrics and financial modeling, emphasizing computational optimisation methods and techniques. The first part addresses optimisation problems and decision modeling, plus applications of supply chain and worst-case modeling and advances in methodological aspects of optimisation techniques. The second part covers optimisation heuristics, filtering, signal extraction and time series models. The final part discusses optimisation in portfolio selection and real option modeling.

Handbook of Computational Econometrics

Handbook of Computational Econometrics
Author: David A. Belsley,Erricos Kontoghiorghes
Publsiher: John Wiley & Sons
Total Pages: 514
Release: 2009-08-18
ISBN 10: 0470748907
ISBN 13: 9780470748909
Language: EN, FR, DE, ES & NL

Handbook of Computational Econometrics Book Review:

Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations. This book: Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies. Brings together contributions from leading researchers. Develops the techniques needed to carry out computational econometrics. Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation. This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels.

Applied Econometrics with R

Applied Econometrics with R
Author: Christian Kleiber,Achim Zeileis
Publsiher: Springer Science & Business Media
Total Pages: 222
Release: 2008-12-10
ISBN 10: 9780387773186
ISBN 13: 0387773185
Language: EN, FR, DE, ES & NL

Applied Econometrics with R Book Review:

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.