The Econometric Analysis Of Network Data
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The Econometric Analysis Of Network Data
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Author : Bryan Graham
language : en
Publisher: Academic Press
Release Date : 2020-05-15
The Econometric Analysis Of Network Data written by Bryan Graham and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Business & Economics categories.
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
Econometric Forecasting And High Frequency Data Analysis
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Author : Yiu-kuen Tse
language : en
Publisher: World Scientific
Release Date : 2008-03-04
Econometric Forecasting And High Frequency Data Analysis written by Yiu-kuen Tse and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-04 with Business & Economics categories.
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. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and High-Frequency Data Analysis Workshop at the Institute for Mathematical Science, National University of Singapore in May 2006. They will be of interest to researchers working in macroeconometrics as well as financial econometrics. Moreover, readers will find these chapters useful as a guide to the literature as well as suggestions for future research.
The Oxford Handbook Of The Economics Of Networks
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Author : Yann Bramoullé
language : en
Publisher: Oxford University Press
Release Date : 2016-03-01
The Oxford Handbook Of The Economics Of Networks written by Yann Bramoullé and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-01 with Business & Economics categories.
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.
The Econometrics Of Networks
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Author : Áureo de Paula
language : en
Publisher: Emerald Group Publishing
Release Date : 2020-10-19
The Econometrics Of Networks written by Áureo de Paula and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-19 with Business & Economics categories.
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.
An Economist S Guide To Economic History
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Author : Matthias Blum
language : en
Publisher: Springer
Release Date : 2018-12-08
An Economist S Guide To Economic History written by Matthias Blum and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-08 with Business & Economics categories.
Without economic history, economics runs the risk of being too abstract or parochial, of failing to notice precedents, trends and cycles, of overlooking the long-run and thus misunderstanding ‘how we got here’. Recent financial and economic crises illustrate spectacularly how the economics profession has not learnt from its past. This important and unique book addresses this problem by demonstrating the power of historical thinking in economic research. Concise chapters guide economics lecturers and their students through the field of economic history, demonstrating the use of historical thinking in economic research, and advising them on how they can actively engage with economic history in their teaching and learning. Blum and Colvin bring together important voices in the field to show readers how they can use their existing economics training to explore different facets of economic history. Each chapter introduces a question or topic, historical context or research method and explores how they can be used in economics scholarship and pedagogy. In a century characterised to date by economic uncertainty, bubbles and crashes, An Economist’s Guide to Economic History is essential reading. For further information visit http://www.blumandcolvin.org
Production Networks And Enterprises In East Asia
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Author : Ganeshan Wignaraja
language : en
Publisher: Springer
Release Date : 2015-12-10
Production Networks And Enterprises In East Asia written by Ganeshan Wignaraja and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-10 with Business & Economics categories.
The book provides a comprehensive examination of patterns and determinants of production networks in East Asia, a key driver in the region’s global success. It provides the reader with an accessible understanding of the theoretical literature on production networks and recent developments in empirical analysis at the industry and firm-levels. The topics covered in the book include: gross trade in parts and components and gravity models, trade in value added, industry case studies, and micro data econometric studies of firm heterogeneity in production networks. The micro data econometric studies explore key aspects of the heterogeneity of firms in East Asian production networks such as technological capability, the entry of small and medium enterprises into production networks, business use of free trade agreements, and access to credit. Blending new sources of data, empirical tools and econometric methods this book is highly recommended for readers who seek to understand the workings of the complex web of production networks in East Asia.
Inferential Network Analysis
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Author : Skyler J. Cranmer
language : en
Publisher: Cambridge University Press
Release Date : 2020-11-19
Inferential Network Analysis written by Skyler J. Cranmer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Business & Economics categories.
Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.
The Econometrics Of Networks
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Author : Áureo de Paula
language : en
Publisher: Emerald Group Publishing
Release Date : 2020-10-19
The Econometrics Of Networks written by Áureo de Paula and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-19 with Business & Economics categories.
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.
Handbook Of Econometrics
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Author :
language : en
Publisher: Elsevier
Release Date : 2020-11-25
Handbook Of Econometrics written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-25 with Business & Economics categories.
Handbook of Econometrics, Volume 7A, examines recent advances in foundational issues and "hot" topics within econometrics, such as inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying leading studies of economic models, mathematical statistics and economic data. Our flourishing ability to address empirical problems in economics by using economic theory and statistical methods has driven the field of econometrics to unimaginable places. By designing methods of inference from data based on models of human choice behavior and social interactions, econometricians have created new subfields now sufficiently mature to require sophisticated literature summaries. - Presents a broader and more comprehensive view of this expanding field than any other handbook - Emphasizes the connection between econometrics and economics - Highlights current topics for which no good summaries exist
Data Science For Economics And Finance
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Author : Sergio Consoli
language : en
Publisher: Springer Nature
Release Date : 2021-06-09
Data Science For Economics And Finance written by Sergio Consoli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Computers categories.
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.