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Many economic theories depend on the presence or absence of a unit root for their validity, making familiarity with unit roots extremely important to econometric and statistical theory. This book introduces the literature on unit roots in a comprehensive manner to empirical and theoretical researchers in economics and other areas.
A comprehensive review of unit roots, cointegration and structural change from a best-selling author.
In the 16th Edition of Advances in Econometrics we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing.
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.
Unit Roots and Structural Breaks.
This volume documents the economic integration of the European national economies over the period 1850-1913. The authors concentrate on the macroeconomic aspects of this integration, focusing on measures of aggregate output and monetary aggregates as they relate to policy concerns, such as those surrounding the implementation of the gold standard, as well as the possible interaction of nominal and real factors in both growth and cycles. They also date the `European' cycle and show a close coincidence across nations.
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
This book presents a selection of peer-reviewed contributions on the latest developments in time series analysis and forecasting, presented at the 7th International Conference on Time Series and Forecasting, ITISE 2021, held in Gran Canaria, Spain, July 19-21, 2021. It is divided into four parts. The first part addresses general modern methods and theoretical aspects of time series analysis and forecasting, while the remaining three parts focus on forecasting methods in econometrics, time series forecasting and prediction, and numerous other real-world applications. Covering a broad range of topics, the book will give readers a modern perspective on the subject. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.
Is economic growth good for the environment? A number of economists have claimed that economic growth can benefit the environment, recruiting political support and finance for environmental policy measures. This view has received increasing support since the early 1990s from empirical evidence that has challenged the traditional environmentalist's belief that economic growth degrades the environment. This book reviews the theoretical and empirical literature on growth and the environment, giving an in-depth empirical treatment of the relationship between the two. Various hypotheses are formulated and tested for a number of indicators of environmental pressure. The test results indicate that alternative models and estimation methods should be used, altering previous conclusions about the effect of economic growth on the environment and offering an insight into the forces driving emission reduction in developed countries.
This handbook provides new dimensions and directions to design tourism education curriculums and transform students' learning. It delves into issues such as job opportunities, business opportunities, required skill sets, and the role of critical and creative thinking in tourism education, and focuses on a shift in mindset from R&D (research and development) to L&D (learning and development), to aid in gaining in-the-field knowledge. It presents a global perspective on the latest trends, innovative curriculum, research, and skill needs in the travel, tourism, and hotel industry via empirical, theoretical, and conceptual chapters, as well as through global case studies. This handbook explores how to develop the skills, attributes and prospects for employment in these competitive industries, and also highlights what employers in the tourism and hospitality sectors expect from graduate and/or post-graduate candidates. Besides examining the contribution of tourism education towards a better society, this handbook introduces a new way of designing curriculums, and examines the past practices, current trends, and future opportunities in the field.