Økonometri og økonomisk statistik

In this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.

Praktisk statistisk metode for økonomer indeholder en beskrivelse af de praktisk statistiskeværktøjer, som studerende ved samfundsøkonomiskeuddannelser bør kende.Bogen indøver grundlæggende begreber og beregnings metoder som: Procentvise stigninger,gennemsnitlige årlige vækstrater, uvejede og vejede gennemsnit, logaritmiskskala, indekstal, mål for spredning og ulighed,standardberegninger samt pris- og mængdeindeks, herunder kædede værdier.Der er desuden medtaget afsnit om beholdnings-og strømstørrelser, sæsonkorrektion, deflatering og nutidsværdi. Metoderne illustreresmed konkrete og simple taleksempler.Også udformning af tabeller og figurer behandles,og der gives gode råd og vink om udarbejdelsen af opgavebesvarelser.Bogen sigter først og fremmest mod anvendelseved universiteter, handelshøjskoler og handelsskoler,men kan bruges alle steder, hvor man beskæftiger sig med økonomisk-statistiske emner.

Delve into the captivating world of 'Unicornomics' with Dr. Stephanie Trail. From the historical roots to future trends, this exploration unravels the secrets of unicorn companies, their disruptive models, funding strategies, global impacts, and the challenges and triumphs that define their unprecedented success in modern business landscapes.

This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. In light of the big data revolution and the emergence of higher dimensional panel data sets, it provides new results to synthesize existing knowledge on the field. The first, theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions.This second extended and revised edition provides an update of all existent chapters to reflect on new developments in the area as well as several new chapters on topics such as machine learning, nonparametric models,networks, and multi-dimensional panels in health economics. The book serves as a standard reference work, a textbook for graduate students in economics, and a source of background material for professionals conducting empirical studies.

United Nations Correspondent quoted" I learned a lot from the book, was amazed by all milestones for the nation, and admired the transformation that hasBook reviewed for India Power, World Top5, Economy Growth, Best Of India Stocks, Best Of India Information Technology, Best Of India Tech Talent, Best Of India Ecommerce, Best Of India Exports, Best Of India Engineering, Best Of India Tourism, Best Of India Cuisine, Best Of India been happening in India, enjoyed every part of the book. Excellent" Economy United Nations Correspondent quote" I learned a lot from the book, was amazed by all milestones for the nation, and admired the transformation that hasIn short, this book is a comprehensive account of the distinguishing characteristics of India as a nation, its strengths, and accomplishments; an invaluable resource for anyone-- investors, businesses, travelers, or for teachers ---relevant for course adoption, in fact for anyone interested in India's fast-paced growth over a few decades.

Rhode Island Renaissance: A Sustainable Future at Quonset PointWelcome to the vision of a vibrant future at Quonset Point! In "Rhode Island Renaissance," we explore the untapped potential of this Bayside gem, offering a compelling strategy that embraces the region's rich history, prime location, and proximity to Providence's burgeoning creativity hub.Unveiling a Unique OpportunityA Place-Based StrategyDiscover a forward-thinking approach that prioritizes long-term impact over short-term gains, aligning with the Rhode Island Economic Policy Council's vision for sustainable growth.Leveraging Rhode Island's AssetsCreativity as an Economic DriverExplore the insights of economist Richard Florida, emphasizing the crucial role of authenticity and uniqueness in fostering creativity and attracting businesses.Authenticity MattersIntegrating Sense of Place into DevelopmentAnalyze how Rhode Island's economic development strategy already incorporates a sense of place and how Quonset Point's potential is undervalued.Short-Term Gains vs. Long-Term VisionEmbracing Sustainability as a ParadigmUnderstand the imperative of sustainability in the development paradigm, balancing economic, environmental, and social priorities.The Sustainability Triangle"Rhode Island Renaissance" - A Blueprint for the FutureExplore the forthcoming chapters outlining a comprehensive strategy for the place-based and sustainable development of Quonset Point/Davisville Port and Commerce Park.Chapters OverviewConclusionEmbark on a journey towards a sustainable future at Quonset Point, where economic development aligns harmoniously with the unique sense of place, ensuring prosperity for generations to come.

Delve into the captivating world of 'Unicornomics' with Dr. Stephanie Trail. From the historical roots to future trends, this exploration unravels the secrets of unicorn companies, their disruptive models, funding strategies, global impacts, and the challenges and triumphs that define their unprecedented success in modern business landscapes.

This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results, integrate with existing literature to draw conclusions through real-world examples. Existing English books teaching research methods and philosophy of academic research are written in `academic English¿ and, it is hard for non-native English-speaking budding researchers to study and understand those books. Also, this book uses examples to show how to communicate with journal editors and peer reviewers to get published the research results as journal articles, book chapters or conference papers.This book connects different quantitative techniques, qualitative methodologies (case studies, phenomenology and ethnography and Grounded theory) as well as Mixed methods methodology through a single example. This book attempts to describe a holistic approach introducing a 10Ps model that incorporates the essential elements of the research process. The process focuses on combining philosophical framework and arguments from research results.This book focuses not only on conducting a research project, but also on the approach and procedures to be followed to achieve higher marks for course work assignments and publishing research articles in international journals.This book shows how to create many papers from one research/data set to increase number of publications and citations. This book has fewer words and more illustrations, tables, figures, pictures and YouTube tutorial links.This book outlines how to present test results in APA style for all the statistical test used in this book, using examples.

A Simple Method for Predicting Covariance Matrices of Financial Returns makes three contributions. First, it proposes a new method for predicting the time-varying covariance matrix of a vector of financial returns, building on a specific covariance estimator suggested by Engle in 2002. The second contribution proposes a new method for evaluating a covariance predictor, by considering the regret of the log-likelihood over some time period such as a quarter. The third contribution is an extensive empirical study of covariance predictors. The authors compare their method to other popular predictors, including rolling window, exponentially weighted moving average (EWMA) and generalized autoregressive conditional heteroscedastic (GARCH) type methods. After an introduction, Section 2 describes some common predictors, including the one that this method builds on. Section 3 introduces the proposed covariance predictor. Section 4 discusses methods for validating covariance predictors that measure both overall performance and reactivity to market changes. Section 5 describes the data used in the authors' first empirical studies and the results are provided in Section 6. The authors then discuss some extensions of and variations on the method, including realized covariance prediction (Section 7), handling large universes via factor models (Section 8), obtaining smooth covariance estimates (Section 9), and using the authors' covariance model to generate simulated returns (Section 10).

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

This book introduces empirical methods for analyzing energy markets. Even beginners in econometrics and mathematical finance must be able to learn how to utilize these methodologies and how to interpret the analysis results. This book provides some example analyses of the North American, European, and Asian energy markets. The reader will experience some theories and practices of energy trading and risk management. This book reveals the characteristics of energy markets using quantitative analyses. Examples include unit root, cointegration, long-term equilibrium, stochastic arbitrage simulation, multivariate generalized autoregressive conditional heteroscedasticity (GARCH) models, exponential GARCH (EGARCH) models, optimal hedge ratio, copula, value-at-risk (VaR), expected shortfall, vector autoregressive (VAR) models, vector moving average (VMA) models, connectedness, and frequency decomposition. This book is suitable for people interested in the empirical study of energy markets and energy trade.

This book explores the potential for renewable energy development and the adoption of sustainable production processes in Latin America and the Caribbean. By examining the energy transition process, the impact of environmental degradation, and the relationship between renewable energy sources and economic growth, the effects of increased globalisation and liberalisation in this part of the world are analysed. Particular attention is given to renewable energy investment, the energy-economics growth nexus, the impact of trade openness, and the mitigation of carbon emissions. This book aims to highlight econometric techniques that can be used to tackle issues relating to globalisation, the energy transition, and environmental degradation. It will be relevant to researchers and policymakers interested in energy and environmental economics.

This publication provides updated statistics on a comprehensive set of economic, financial, social, and environmental measures as well as select indicators for the Sustainable Development Goals (SDGs). The report covers the 49 regional members of ADB. It discusses trends in development progress and the challenges to achieving inclusive and sustainable economic growth across Asia and the Pacific. This 54th edition of Key Indicators examines how the increased cost-of-living crisis combined with the lingering impacts of the COVID-19 pandemic are pushing millions of people in Asia and the Pacific deeper into poverty. The report identifies the need for more galvanized efforts to ensure poor people are able to cope with inflationary pressures and ongoing economic uncertainties.

Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance.

"This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields"--

Das Arbeitsbuch behandelt einen Querschnitt mathematischer Themen, die bei Bachelorstudiengängen wie Betriebswirtschafts- und Volkswirtschaftslehre, aber auch bei interdisziplinären Studiengängen mit einem Wirtschaftsanteil, wie Sozialökonomie, benötigt werden.Angefangen beim Mittelstufenschulstoff werden schrittweise die für das Studium wichtigen Themen und Methoden mit entsprechenden ökonomischen Anwendungen und Begriffen wie folgt erarbeitet:Das Thema, die Methode und zugehörige Begriffe werden eingeführt. Das methodische Vorgehen wird anhand einer Beispielaufgabe erläutert.Das Erlernen und Üben der Methode wird durch Aufgaben mit ausführlichen Lösungen ermöglicht.Verknüpft werden die mathematischen Themen jeweils mit Erläuterungen zu ökonomischen Begriffen und ökonomischen Anwendungen. Diese sind entweder als Anwendungsaufgaben mit Lösungen in den Abschnitten integriert oder werden als eigenständige Abschnittebehandelt.

Poverty and inequality have pervaded British society to this day, but this has not always been self-evident to contemporaries - popular understandings have depended on existing knowledge. Inequality Knowledge provides the first detailed history of the numbers about the gap between rich and poor. It shows how they were produced, used, and suppressed at times, and how activists, scientists, and journalists eventually wrestled control over the figures from the state. The book traces the making and the politics of statistical knowledge about economic inequality in the United Kingdom from the post-war era to the 1990s. What kind of knowledge was available to contemporaries about socio-economic disparities in Britain and how they evolved over time? How was this knowledge produced and by whom? What did policy makers and civil servants know about the extent of poverty and inequality in British society and to what extent did they take the distributional impact of their social and fiscal policies into account? Far from just a technical matter, inequality knowledge had far-reaching implications for key debates and the wider political culture in contemporary Britain. Historicizing inequality knowledge speaks to a long tradition of historical research about social class divisions and cultural representations of economic disparities in twentieth-century Britain.

The book deals with the study of natural resource conservation, bio-diversity, population explosion, flora and fauna, global warming and climate change.