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Modeling Income Distributions and Lorenz Curves
Jean-Jacques Rousseau wrote in the Preface to his famous Discourse on Inequality that “I consider the subject of the following discourse as one of the most interesting questions philosophy can propose, and unhappily for us, one of the most thorny that philosophers can have to solve. For how shall we know the source of inequality between men, if we do not begin by knowing mankind?” (Rousseau, 1754). This citation of Rousseau appears in an article in Spanish where Dagum (2001), in the memory of whom this book is published, also cites Socrates who said that the only useful knowledge is that which makes us better and Seneca who wrote that knowing what a straight line is, is not important if ...
Essays on finite mixture models
Finite mixture distributions are a weighted average of a finite number of distributions. The latter are usually called the mixture components. The weights are usually described by a multinomial distribution and are sometimes called mixing proportions. The mixture components may be the same type of distributions with di®erent parameter values but they may also be completely different distributions. Therefore, finite mixture distributions are very °exible for modeling data. They are frequently used as a building block within many modern econometric models. The specification of the mixture distribution depends on the modeling problem at hand. In this thesis, we introduce new applications of f...
Forecasting Financial Time Series Using Model Averaging
Believing in a single model may be dangerous, and addressing model uncertainty by averaging different models in making forecasts may be very beneficial. In this thesis we focus on forecasting financial time series using model averaging schemes as a way to produce optimal forecasts. We derive and discuss in simulation exercises and empirical applications model averaging techniques that can reproduce stylized facts of financial time series, such as low predictability and time-varying patterns. We emphasize that model averaging is not a "magic" methodology which solves a priori problems of poorly forecasting. Averaging techniques have an essential requirement: individual models have to fit data...
Intelligence and Security Informatics
This book constitutes the refereed proceedings of the IEEE International Conference on Intelligence and Security Informatics, ISI 2005, held in Atlanta, GA, USA in May 2005. The 28 revised full papers, 34 revised short papers, and 32 poster abstracts presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on data and text mining, infrastructure protection and emergency response, information management and security education, deception detection and authorship analysis, monitoring and surveillance, and terrorism informatics.
The Economics of Creative Destruction
A stellar cast of economists examines the roles of creative destruction in addressing today’s most important political and social questions. Inequality is rising, growth is stagnant while rents accumulate, the environment is suffering, and the COVID-19 pandemic exposed every crack in the systems of global capitalism. How can we restart growth? Can our societies be made fairer? Editors Ufuk Akcigit and John Van Reenen assemble a world-leading group of social scientists and theorists to consider these questions and, in particular, how ideas about the economics of creative destruction may help solve the problems we face. Most closely associated with Joseph Schumpeter, formalized by Philippe A...
Econometric Models in Marketing
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. Given the applied nature of marketing research, measurement and quantitative issues arise frequently. ...
A Concise Introduction to Econometrics
In this short and very practical 2002 introduction to econometrics Philip Hans Franses guides the reader through the essential concepts of econometrics. Central to the book are practical questions in various economic disciplines, which can be answered using econometric methods and models. The book focuses on a limited number of the essential, most widely used methods, before going on to review the basics of econometrics. The book ends with a number of case studies drawn from recent empirical work to provide an intuitive illustration of what econometricians do when faced with practical questions. Throughout the book Franses emphasises the importance of specification, evaluation and implementation of models appropriate to the data. Assuming basic familiarity only with matrix algebra and calculus the book is designed to appeal as either a short stand-alone introduction for students embarking on an empirical research project or as a supplement to any standard introductory textbook.
Forecasting in the Presence of Structural Breaks and Model Uncertainty
Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.
Handbook of Research on Retailing
The advent of e-commerce and the rise of hard discounters have put severe pressure on traditional retail chains. Boundaries are blurring: traditional brick & mortar players are expanding their online operations and/or setting up their own discount banners, while the power houses of online retail are going physical, and hard discounters get caught up in the Wheel of Retailing. Even successful companies cannot sit back and rest, but need to prepare for the next wave of change. In the face of this complexity, it is all the more important to take stock of current knowledge, based on insights and experience from leading scholars in the field. What do we know from extant studies, and what are the ensuing best practices? What evolutions are ahead, and will current recipes still work in the future? This Handbook sheds light on these issues.
Ethics in Econometrics
Econometricians make choices on data, models, and estimation routines. Using various examples, this book shows the consequences of choices.
