Økonometri og økonomisk statistik

This book provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB).

This book sheds new light on a recently introduced monetary tool - negative interest rates policy (NIRP). It provides in-depth insight into this phenomenon, conducted by the central banks in several economies, for example, the Eurozone, Switzerland and Japan, and its possible impact on systemic risk.

This book presents an introduction to pricing and hedging in discrete and continuous time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance, covering the basics of stochastic calculus for finance.

The textbook is an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The target audience are undergrad data science, finance and graduate students, and practitioners or professionals who need a desk reference.

This book not only continues the neoclassical tradition of thought in economics focused on quantitative economic change but also, and to a significant extent, discusses alternative approaches to certain questions of economic growth, utilizing conclusions that can be drawn from the Solow model.

This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.

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.

Don't blame the computers. People are running the show. This is the new edition of the definitive textbook on data visualization. There's added material on fake news and social media disinformation, misinterpretation of metadata, and the uses and abuses of Big Data. If you're using a computer to generate charts for meetings and reports, you don't have to be taught how to lie - you're already doing it. You probably don't know your charts are unreliable, and neither does your audience. So you're getting away with it - until a manager or a sales prospect or an investor makes a bad decision based on the information that you were so helpful to provide. The main focus of How to Lie with Charts is on the principles of persuasive - and undistorted - visual communication. It's about careful thinking and clear expression.

From the times of Emancipation, Reconstruction, the Jim Crow Era, the Civil Rights Era, and now this "Post-Racial" Era, the sustainable and economic rise of African-Americans has been at best-unavailable for the masses. There have been systems in place to block or hinder our progress and it appears that in our current polarized political climate, that now more than ever, is the time to create and generate systems that work for us. The Black Economic Empowerment System (BEES) could be that very system that puts the economic failures of the African-American community in the past-forever! Business Leader and Author, Anthony Rice, Jr.'s "blueprint" is a step-by-step approach to proven realized economic empowerment. This cyclical system, if applied, can produce swarms of activity that produces and reproduces economic hives for black communities where for all involved, no one is left behind, hence the word cyclical. Economist and author, Dr. Claud Anderson states, "It is what you own and control that makes a difference in society. If you own and control nothing you'll get nothing." That statement is a call to action. The BEES is a perfect system to start. "I highly commend Anthony Rice, Jr., for putting together The BEES. In addition, I thank him for selecting Collaborate Ventures to play a major role in launching the pilot project with the House of Africa. Anthony Rice, Jr. in my opinion is a mathematical genius, and an astute businessman with a special gift of persistency. BEES, the Black Economic Empowerment System' strategy is a prenominal systematic approach to building wealth. It focuses on black-owned businesses, is all-inclusive, and incents African-Americans to patronize African-American businesses. The concept of Community Participants who receive incentives for patronizing these black-owned businesses, Community Vendors, that share profits for the increase in business, and the black-owned suppliers who also share profits, all working together to create wealth and build our own communities is desperately needed in this country and worldwide. This concept will have a favorable impact on wealth for African-Americans, and Anthony Rice believes whole-heartedly in this, as do I. I personally, as well as Collaborative Ventures, am humbled and grateful to be a part of this historical journey." Jeffrey L. Green Strategic Account Manager Ronco Specialized

This monograph addresses the methodological and empirical issues relevant for the development of sustainable agriculture, with a particular focus on Eastern Europe. It relates economic growth to the other dimensions of sustainability by applying integrated methods. The book comprises five chapters dedicated to the theoretical approaches towards sustainable rural development, productivity analysis, structural change analysis and environmental footprint. The book focuses on the transformations of the agricultural sector while taking into account economic, environmental, and social dynamics. The importance of agricultural transformations to the livelihood of the rural population and food security are highlighted. Further, advanced methodologies and frameworks are presented to fathom the underlying trends in different facets of agricultural production. The authors present statistical methods used for the analysis of agricultural sustainability along with applications for agriculture in the European Union. Additionally, they discuss the measures of efficiency, methodological approaches and empirical models. Finally, the book applies econometric and optimization techniques, which are useful for the estimation of the production functions and other representations of technology in the case of the European Union member states. Therefore, the book is a must-read for researchers and students of agricultural and production economics, as well as policy-makers and academia in general.

The University of Oxford has been and continues to be one of the most important global centres for economics. With six chapters on themes in Oxford economics and 24 chapters on the lives and work of Oxford economists, this volume shows how economics became established at the University, how it produced some of the world¿s best-known economists, including Francis Ysidro Edgeworth, Roy Harrod and David Hendry, and how it remains a global force for the very best in teaching and research in economics. With original contributions from a stellar cast, this volume provides economists ¿ especially those interested in macroeconomics and the history of economic thought ¿ with the first in-depth analysis of Oxford economics.

1. Einleitung 2. Theoretischer Hintergrund 3. Forschungsfragen und Hypothesen4. Operationalisierung 5. Datenerhebung 6. Datenauswertung 6.1. Datenaufbereitung 6.2. Beschreibung der Stichprobe bzw. deskriptive Analyse6.2.1. Geschlecht 6.2.2. Alter 6.2.3. Betriebszugehörigkeit 6.2.4. Abteilung 6.3. Inferenzstatistische Analyse 6.3.1. Hypothese 1 6.3.2. Hypothese 2 6.3.3. Hypothese 3 7. Ergebniszusammenfassung 8. Interpretation und Ausblick 9. Literaturverzeichnis 10. Tabellenverzeichnis 11. Abbildungsverzeichnis12. Anhang 1 (Musterfragebogen) 13. Anhang 2 (Kodierleitfaden) 14. Anhang 3 (Syntax zu den durchgeführten Berechnungen)

"Causality is central to the understanding and use of data; without an understanding of cause and effect relationships, we cannot use data to answer important questions in medicine and many other fields"--

Originally published in 1939, this book is the second of a two-volume set on the mathematics required for the examinations of the Institute of Actuaries.

With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered COVID-19.