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El libro que presentamos está pensado esencialmente para los programas de especialización en modelos matemáticos correspondientes a un curso anual de Master o Doctorado de las Facultades de Economía y Administración y Dirección de Empresas de nuestras Universidades, aunque también de Ingeniería, por lo que se refiere al estudio y resolución de las ecuaciones infinitesimales y en diferencias finitas o recurrentes, ambas de provechosas aplicaciones en la ciencia económica, así como el cálculo variacional. Los métodos matemáticos avanzados que se emplean en este libro son también muy útiles en otras áreas del Análisis Económico y su manejo resultará especialmente interesante a la hora de cursar otras disciplinas propias de aquellas carreras, como por ejemplo la Teoría Económica y la Econometría.
JOSEP MARIA FRANQUET BERNIS (Tortosa, 1950), es Ingeniero Agrónomo (especialidad Economía agraria), por la Universidad Politécnica de Valencia, donde finalizó la carrera en el año 1974, realizando posteriormente, los estudios de Doctorado e Ingeniería Técnica Industrial. Es Doctor en Ciencias Económicas y Empresariales, por la Universidad de Barcelona (1995). Es, asimismo, Doctor por la Universidad Internacional de Cataluña (2007). También es poseedor del título de Ingeniero Técnico en Explotaciones Agropecuarias por la Universidad Politécnica de Cataluña (1997). El profesor Franquet tiene en su haber otros títulos universitarios como son: Diplomado en Cooperación y Diplomado en Investigación Operativa por la Universidad de Valencia, Diplomado en Economía de la Empresa y Diplomado en Planificación de Empresas por la Universidad Politécnica de Madrid. Tiene, así mismo, el reconocimiento profesional de Doctor Ingeniero Superior, European Engineer-EUR ING (FEANI, París, 1993). En 1974 inicia su carrera docente como profesor de la Escuela de Investigación Operativa de la Universidad de Valencia (Departamento de Matemática Aplicada). Es profesor-tutor del Centro Asociado de la UNED en Tortosa desde el año 1976 (Departamento de Economía Aplicada Cuantitativa) y desde octubre de 2007 es el Director del mismo. También es Director del Campus Nordeste (Cataluña y Baleares). Ha sido Profesor Asociado de la Universidad Internacional de Cataluña (Departamento de Hidráulica y Proyectos). Posee las acreditaciones oficiales de profesor colaborador, ayudante doctor y contratado doctor. Autor de numerosos artículos técnicos así como de diversos libros y monografías en materia de agricultura, construcción, hidráulica, planificación territorial, climatología, piscicultura, folklore, narrativa, administración local, psicología, topografía, poesía, matemáticas y economía.
This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission. Kenneth Train is Visiting Associate Professor in Economics at the University of California, Berkeley, and Director of Economic Research at Cambridge Systematics, Inc., also in Berkeley. Qualitative Choice Analysisis included in The MIT Press Transportation Studies Series, edited by Marvin L. Manheim.
The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.
This well known text helps students understand the art of model building - what type of model to build, building the appropriate model, testing it statistically, and applying the model to practical problems in forecasting and analysis.
From the bestselling author of the acclaimed Chaos and Genius comes a thoughtful and provocative exploration of the big ideas of the modern era: Information, communication, and information theory. Acclaimed science writer James Gleick presents an eye-opening vision of how our relationship to information has transformed the very nature of human consciousness. A fascinating intellectual journey through the history of communication and information, from the language of Africa’s talking drums to the invention of written alphabets; from the electronic transmission of code to the origins of information theory, into the new information age and the current deluge of news, tweets, images, and blogs. Along the way, Gleick profiles key innovators, including Charles Babbage, Ada Lovelace, Samuel Morse, and Claude Shannon, and reveals how our understanding of information is transforming not only how we look at the world, but how we live. A New York Times Notable Book A Los Angeles Times and Cleveland Plain Dealer Best Book of the Year Winner of the PEN/E. O. Wilson Literary Science Writing Award
Optimal Regulation addresses the central issue of regulatory economics - how toregulate firms in a way that induces them to produce and price "optimally." It synthesizes the majorfindings of an extensive theoretical literature on what constitutes optimality in various situationsand which regulatory mechanisms can be used to achieve it. It is the first text to provide aunified, modern, and nontechnical treatment of the field.The book includes models for regulatingoptimal output, tariffs, and surplus subsidy schemes, and presents all of the material graphically,with clear explanations of often highly technical topics.Kenneth E. Train is Associate AdjunctProfessor in the Department of Economics and Graduate School of Public Policy at the University ofCalifornia, Berkeley. He is also Principal of the firm Cambridge Systematics.Topics include: Thecost structure of natural monopoly (economies of scale and scope). Characterization of firstandsecond-best optimality. Surplus subsidy schemes for attaining first-best optimality. Ramsey pricesand the Vogelsang-Finsinger mechanism for attaining them. Time-ofuse (TOU) prices and Riordan'smechanisms for attaining the optimal TOU prices' Multipart and self-selecting tariffs, and Sibley'smethod for using self-selecting tariffs to achieve optimality. The Averch-Johnson model of howrate-of-return regulation induces inefficiencies. Analysis of regulation based on the firm's returnon Output, costs, or sales. Price-cap regulation. Regulatory treatment of uncertainty and its impacton the firm's behavior. Methods of attaining optimality without direct regulation (contestability,auctioning the monopoly franchise.)