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Author: Badi H. Baltagi Publisher: John Wiley & Sons ISBN: 047099830X Category : Business & Economics Languages : en Pages : 736
Book Description
A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics. Integrates real-world topics encountered by professionals and practitioners. Draws on up-to-date research in areas not covered by standard econometrics texts. Organized to provide clear, accessible information and point to further readings.
Author: Badi H. Baltagi Publisher: John Wiley & Sons ISBN: 047099830X Category : Business & Economics Languages : en Pages : 736
Book Description
A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics. Integrates real-world topics encountered by professionals and practitioners. Draws on up-to-date research in areas not covered by standard econometrics texts. Organized to provide clear, accessible information and point to further readings.
Author: Maxwell L. King Publisher: Routledge ISBN: 1351140671 Category : Business & Economics Languages : en Pages : 366
Book Description
Originally published in 1987. This collection of original papers deals with various issues of specification in the context of the linear statistical model. The volume honours the early econometric work of Donald Cochrane, late Dean of Economics and Politics at Monash University in Australia. The chapters focus on problems associated with autocorrelation of the error term in the linear regression model and include appraisals of early work on this topic by Cochrane and Orcutt. The book includes an extensive survey of autocorrelation tests; some exact finite-sample tests; and some issues in preliminary test estimation. A wide range of other specification issues is discussed, including the implications of random regressors for Bayesian prediction; modelling with joint conditional probability functions; and results from duality theory. There is a major survey chapter dealing with specification tests for non-nested models, and some of the applications discussed by the contributors deal with the British National Accounts and with Australian financial and housing markets.
Author: John Eatwell Publisher: W. W. Norton & Company ISBN: 9780393958560 Category : Business & Economics Languages : en Pages : 306
Book Description
"First published in the New Palgrave: a dictionary of economics ... in four volumes, 1987"--T.p. verso. Includes bibliographical references.
Author: Various Publisher: Routledge ISBN: 1351140116 Category : Business & Economics Languages : en Pages : 5228
Book Description
Reissuing works originally published between 1929 and 1991, this collection of 17 volumes presents a variety of considerations on Econometrics, from introductions to specific research works on particular industries. With some volumes on models for macroeconomics and international economies, this is a widely interesting set of economic texts. Input/Output methods and databases are looked at in some volumes while others look at Bayesian techniques, linear and non-linear models. This set will be of use to those in industry and business studies, geography and sociology as well as politics and economics.
Author: Harry Kelejian Publisher: Academic Press ISBN: 0128133929 Category : Business & Economics Languages : en Pages : 460
Book Description
Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current practice of modern spatial econometrics and spatial statistics, combining rigorous depth of presentation with unusual depth of coverage. Introducing and formalizing the principles of, and 'need' for, models which define spatial interactions, the book provides a comprehensive framework for almost every major facet of modern science. Subjects covered at length include spatial regression models, weighting matrices, estimation procedures and the complications associated with their use. The work particularly focuses on models of uncertainty and estimation under various complications relating to model specifications, data problems, tests of hypotheses, along with systems and panel data extensions which are covered in exhaustive detail. Extensions discussing pre-test procedures and Bayesian methodologies are provided at length. Throughout, direct applications of spatial models are described in detail, with copious illustrative empirical examples demonstrating how readers might implement spatial analysis in research projects. Designed as a textbook and reference companion, every chapter concludes with a set of questions for formal or self--study. Finally, the book includes extensive supplementing information in a large sample theory in the R programming language that supports early career econometricians interested in the implementation of statistical procedures covered. - Combines advanced theoretical foundations with cutting-edge computational developments in R - Builds from solid foundations, to more sophisticated extensions that are intended to jumpstart research careers in spatial econometrics - Written by two of the most accomplished and extensively published econometricians working in the discipline - Describes fundamental principles intuitively, but without sacrificing rigor - Provides empirical illustrations for many spatial methods across diverse field - Emphasizes a modern treatment of the field using the generalized method of moments (GMM) approach - Explores sophisticated modern research methodologies, including pre-test procedures and Bayesian data analysis
Author: B. Fingleton Publisher: Edward Elgar Publishing ISBN: 184720421X Category : Business & Economics Languages : en Pages : 379
Book Description
This book is a serious attempt to cover all of the relevant subdisciplines in the geographical economics framework. . . I would recommend the book to students of economic geography, regional economics, and related disciplines. Frans Boekema, Journal of Regional Science . . . this book is empirically and theoretically comprehensive in its scope. The nearly eighteen authors who have contributed to this book present a truly transatlantic perspective on NEG. . . this volume will be extremely useful to those dealing with rigorous modelling to examine spatial issues in economics, geography and planning. Rajiv Thakur, Regional Science Policy and Practice I recommend the book. . . The papers of a high quality, well written and organized; empirical analyses are based on the most advanced empirical techniques, and the reader enjoys their application. Roberta Capello, Growth and Change A very interesting volume indeed, recommended reading for everyone interested in theorizing space in economics or working in the empirical spatial-economic research arena. Economic Geography Research Group This important book explores original and alternative directions for economic geography following the revolution precipitated by the advent of so-called new economic geography (NEG). Whilst, to some extent, the volume could be regarded as part of the inevitable creative destruction of NEG theory, it does promote the continuing role of theoretical and empirical contributions within spatial economic analysis, in which the rationale of scientific analysis and economic logic maintain a central place. With contributions from leading experts in the field, the book presents a comprehensive analysis of the extent to which NEG theory is supported in the real world. By exploring whether NEG theory can be effectively applied to provide practical insights, the authors highlight novel approaches, emerging trends, and promising new lines of enquiry in the wake of advances made by NEG. Rigorous yet engaging, this book will be an essential tool for academics and researchers specialising in regional studies, urban and spatial economics and economic geography. It will also have widespread appeal amongst policymakers involved in planning and land use.
Author: Julia Campos Publisher: ISBN: Category : Econometric models Languages : en Pages : 666
Book Description
"This paper discusses the econometric methodology of general-to-specific modeling, in which the modeler simplifies an initially general model that adequately characterizes the empirical evidence within his or her theoretical framework. Central aspects of this approach include the theory of reduction, dynamic specification, model selection procedures, model selection criteria, model comparison, encompassing, computer automation, and empirical implementation. This paper thus reviews the theory of reduction, summarizes the approach of general-to-specific modeling, and discusses the econometrics of model selection, noting that general-to-specific modeling is the practical embodiment of reduction. This paper then summarizes fifty-seven articles key to the development of general-to-specific modeling"--Federal Reserve Board web site.
Author: L. Anselin Publisher: Springer Science & Business Media ISBN: 9401577994 Category : Business & Economics Languages : en Pages : 295
Book Description
Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.
Author: Badi H. Baltagi
Author: Badi H. Baltagi
Author: Maxwell L. King
Author: John Eatwell
Author: Various
Author: Harry Kelejian
Author: Neil R. Ericsson
Author: B. Fingleton
Author: Julia Campos
Author: 
Author: L. Anselin