Predictive Econometrics And Big Data

DOWNLOAD

Download Predictive Econometrics And Big Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Predictive Econometrics And Big Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Predictive Econometrics And Big Data

DOWNLOAD
Author : Vladik Kreinovich
language : en
Publisher: Springer
Release Date : 2017-11-30

Predictive Econometrics And Big Data written by Vladik Kreinovich and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-30 with Technology & Engineering categories.

This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.

Macroeconomic Forecasting In The Era Of Big Data

DOWNLOAD
Author : Peter Fuleky
language : en
Publisher: Springer Nature
Release Date : 2019-11-28

Macroeconomic Forecasting In The Era Of Big Data written by Peter Fuleky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Business & Economics categories.

This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.

Social And Ethical Considerations Of Ai In East Asia And Beyond

DOWNLOAD
Author : Levi Checketts
language : en
Publisher: Springer Nature
Release Date : 2025-02-17

Social And Ethical Considerations Of Ai In East Asia And Beyond written by Levi Checketts and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Science categories.

This book is a global reflection on disparate religious and philosophical approaches to questions of AI and the particular ways these questions affect East Asian societies. These chapters originate from a conference held at Hong Kong Baptist University in April 2023 on “Ethical and Social Issues in AI: East Asia and Beyond.” Sections cover Confucianist, Daoist, and Christian reflections on AI ethics. Chapters on broad theoretical questions that AI poses are included as well as those addressing issues in applied AI ethics. This volume appeals to students and researchers working across cultures and traditions on the philosophy of AI technology.

Digitalization And Economic Development

DOWNLOAD
Author : Mohamed Sami Ben Ali
language : en
Publisher: Taylor & Francis
Release Date : 2022-06-09

Digitalization And Economic Development written by Mohamed Sami Ben Ali and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-09 with Business & Economics categories.

This book analyses the impact of Information and Communication Technologies (ICTs) on economic development. It contains theoretical and empirical studies, including panel studies on various issues facing developing countries, such as education, corruption, economic growth, government expenditure, financial inclusion, foreign direct investment, infrastructure, economic and social welfare, and inequality. Each chapter offers a well-conceived analysis of the most recent trends in both theory and empirics and addresses numerous policy implications related to the different aspects dealt with in the volume. Overall, this book will be an excellent guide for global graduate students at the Master and PhD levels, as well as academics researching various issues related to economic development while analyzing the role of ICTs. It also addresses numerous policy implications related to economic development for policymakers, investors and stakeholders.

Applications Of Optimal Transport To Economics And Related Topics

DOWNLOAD
Author : Vladik Kreinovich
language : en
Publisher: Springer Nature
Release Date : 2024-11-09

Applications Of Optimal Transport To Economics And Related Topics written by Vladik Kreinovich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-09 with Technology & Engineering categories.

Often, when a new successful data processing techniques appears in one of the application areas, it then proves to be useful in many other areas. This was the case of optimal transportation techniques: these techniques were first developed for transportation problems, but now they have been shown to be successful in many statistical applications, including applications to economics. These techniques are the main focus of this book, but this book also contain papers that use other techniques, ranging from more traditional statistical approaches to more recent ones such as stochastic frontier methods, multivariable quantiles, random forest, and deep learning. Applications include all aspects of economics, from production (including agricultural) to trade (including international) and finances, with relation to issues of crime (including computer crime and cyberbullying), demographics, economic freedom, environment, health, and tourism. We hope that this volume will: help practitioners to become better knowledgeable of the state-of-the-art econometric techniques, especially optimal transport techniques, and help researchers to further develop these important research directions. We want to thank all the authors for their contributions and all anonymous referees for their thorough analysis and helpful comments. The publication of this volume was partly supported by the Faculty of Economics of the Chiang Mai University, Thailand. Our thanks to the leadership and staff of the Chiang Mai University for providing crucial support. Our special thanks to Prof. Hung T. Nguyen for his valuable advice and constant support.

Big Data Analytics

DOWNLOAD
Author : Ulrich Matter
language : en
Publisher: CRC Press
Release Date : 2023-09-04

Big Data Analytics written by Ulrich Matter and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-04 with Mathematics categories.

Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics. The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation). The book combines conceptual and theoretical material with the practical application of the concepts using R and SQL. The reader will thus acquire the skills to analyse large data sets, both locally and in the cloud. Various code examples and tutorials, focused on empirical economic and business research, illustrate practical techniques to handle and analyse Big Data. Key Features: - Includes many code examples in R and SQL, with R/SQL scripts freely provided online. - Extensive use of real datasets from empirical economic research and business analytics, with data files freely provided online. - Leads students and practitioners to think critically about where the bottlenecks are in practical data analysis tasks with large data sets, and how to address them. The book is a valuable resource for data science practitioners, graduate students and researchers who aim to gain insights from big data in the context of research questions in business, economics, and the social sciences.

Climate Change And Environmental Sustainability

DOWNLOAD
Author : Bao-Jie He
language : en
Publisher: Springer Nature
Release Date : 2022-11-24

Climate Change And Environmental Sustainability written by Bao-Jie He and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-24 with Science categories.

This book discusses the challenges related to climate change mitigation and adaptation. It adds valuable strategies and insights into the development of new practices solving the identified social and economic problems related to ecosystem deterioration and anticipating other disasters related to climate change. As the decarbonization of cities and communities became an issue of great interest to many researchers, the book in hands will be of great importance to decision-makers and energy stakeholders and others seeking a more resilient and sustainable future and developing innovative technologies to overcome environmental deterioration. This book is a culmination of selected research papers from the first version of the international conference on ‘Climate Chance and Environmental Sustainability’ which was held in 2021 in collaboration with Chongqing University, China.

Bayesian Econometric Modelling For Big Data

DOWNLOAD
Author : Hang Qian
language : en
Publisher: CRC Press
Release Date : 2025-06-20

Bayesian Econometric Modelling For Big Data written by Hang Qian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Mathematics categories.

This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It explores a variety of divide-and-conquer and subsampling techniques, seamlessly integrating these scalable methods into a broad spectrum of econometric models. In addition to its focus on big data, the book introduces novel concepts within traditional statistics, such as the summation, subtraction, and multiplication of conjugate distributions. These arithmetic operators conceptualize pseudo data in the conjugate prior, sufficient statistics that determine the likelihood, and the posterior as a balance between data and prior information, adding an intriguing dimension to Bayesian analysis. This book also offers a deep dive into Bayesian computation. Given the intricacies of floating-point representation of real numbers, computer programs can sometimes yield unexpected or theoretically impossible results. Drawing from his experience as a senior statistical software developer, the author shares valuable strategies for designing numerically stable algorithms. The book is an essential resource for a diverse audience: graduate students seeking foundational knowledge in Bayesian econometric models, early-career statisticians eager to explore cutting-edge advancements in scalable Bayesian methods, data analysts struggling with out-of-memory challenges in large datasets, and statistical software users and developers striving to program with efficiency and numerical stability.

Big Data For Twenty First Century Economic Statistics

DOWNLOAD
Author : Katharine G. Abraham
language : en
Publisher: University of Chicago Press
Release Date : 2022-03-11

Big Data For Twenty First Century Economic Statistics written by Katharine G. Abraham and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Business & Economics categories.

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data—such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers—has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.

Econometric Modelling And Forecasting Of Tourism Demand

DOWNLOAD
Author : Doris Chenguang Wu
language : en
Publisher: Taylor & Francis
Release Date : 2022-10-27

Econometric Modelling And Forecasting Of Tourism Demand written by Doris Chenguang Wu and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Business & Economics categories.

This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting. Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting. Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners.