Econometrics: Alchemy Or Science? PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Econometrics: Alchemy Or Science? PDF full book. Access full book title Econometrics: Alchemy Or Science? by David F. Hendry. Download full books in PDF and EPUB format.
Author: David F. Hendry
Publisher: Oxford University Press, USA
ISBN: 0198293542
Category : Business & Economics
Languages : en
Pages : 561
Get Book Here
Book Description
"Econometrics: Alchemy or Science?" analyses the effectiveness and validity of applying econometric methods to economic time series. The methodological dispute is long-standing, and no claim can be made for a single valid method, but recent results on the theory and practice of model selection bid fair to resolve many of the contentious issues.The book presents criticisms and evaluations of competing approaches, based on theoretical economic and econometric analyses, empirical applications, and Monte Carlo simulations, which interact to determine best practice. It explains the evolution of an approach to econometric modelling founded in careful statistical analyses of the available data, using economic theory to guide the general model specification. From a strong foundation in the theory of reduction, via a range of applied andsimulation studies, it demonstrates that general-to-specific procedures have excellent properties.The book is divided into four Parts: Routes and Route Maps; Empirical Modelling Strategies; Formalization; and Retrospect and Prospect. A short preamble to each chapter sketches the salient themes, links to earlier and later developments, and the lessons learnt or missed at the time. A sequence of detailed empirical studies of consumers' expenditure and money demand illustrate most facets of the approach. Material new to this revised edition describes recent major advances in computer-automatedmodel selection, embodied in the powerful new software program PcGets, which establish the operational success of the modelling strategy.
Author: David F. Hendry
Publisher: Oxford University Press, USA
ISBN: 0198293542
Category : Business & Economics
Languages : en
Pages : 561
Get Book Here
Book Description
"Econometrics: Alchemy or Science?" analyses the effectiveness and validity of applying econometric methods to economic time series. The methodological dispute is long-standing, and no claim can be made for a single valid method, but recent results on the theory and practice of model selection bid fair to resolve many of the contentious issues.The book presents criticisms and evaluations of competing approaches, based on theoretical economic and econometric analyses, empirical applications, and Monte Carlo simulations, which interact to determine best practice. It explains the evolution of an approach to econometric modelling founded in careful statistical analyses of the available data, using economic theory to guide the general model specification. From a strong foundation in the theory of reduction, via a range of applied andsimulation studies, it demonstrates that general-to-specific procedures have excellent properties.The book is divided into four Parts: Routes and Route Maps; Empirical Modelling Strategies; Formalization; and Retrospect and Prospect. A short preamble to each chapter sketches the salient themes, links to earlier and later developments, and the lessons learnt or missed at the time. A sequence of detailed empirical studies of consumers' expenditure and money demand illustrate most facets of the approach. Material new to this revised edition describes recent major advances in computer-automatedmodel selection, embodied in the powerful new software program PcGets, which establish the operational success of the modelling strategy.
Author: David F. Hendry
Publisher: OUP Oxford
ISBN: 0191522112
Category : Business & Economics
Languages : en
Pages : 560
Get Book Here
Book Description
"Econometrics: Alchemy or Science?" analyses the effectiveness and validity of applying econometric methods to economic time series. The methodological dispute is long-standing, and no claim can be made for a single valid method, but recent results on the theory and practice of model selection bid fair to resolve many of the contentious issues. The book presents criticisms and evaluations of competing approaches, based on theoretical economic and econometric analyses, empirical applications, and Monte Carlo simulations, which interact to determine best practice. It explains the evolution of an approach to econometric modelling founded in careful statistical analyses of the available data, using economic theory to guide the general model specification. From a strong foundation in the theory of reduction, via a range of applied and simulation studies, it demonstrates that general-to-specific procedures have excellent properties. The book is divided into four Parts: Routes and Route Maps; Empirical Modelling Strategies; Formalization; and Retrospect and Prospect. A short preamble to each chapter sketches the salient themes, links to earlier and later developments, and the lessons learnt or missed at the time. A sequence of detailed empirical studies of consumers' expenditure and money demand illustrate most facets of the approach. Material new to this revised edition describes recent major advances in computer-automated model selection, embodied in the powerful new software program PcGets, which establish the operational success of the modelling strategy.
Author: David F. Hendry
Publisher:
ISBN:
Category :
Languages : en
Pages : 560
Get Book Here
Book Description
Author: Imad A. Moosa
Publisher: Edward Elgar Publishing
ISBN: 1785369954
Category : Business & Economics
Languages : en
Pages : 253
Get Book Here
Book Description
Imad Moosa challenges convention with this comprehensive and compelling critique of econometrics, condemning the common practices of misapplied statistical methods in both economics and finance.
Author: Ping Zong
Publisher: Taylor & Francis
ISBN: 1000580229
Category : Business & Economics
Languages : en
Pages : 249
Get Book Here
Book Description
Today econometrics has been widely applied in the empirical study of economics. As an empirical science, econometrics uses rigorous mathematical and statistical methods for economic problems. Understanding the methodologies of both econometrics and statistics is a crucial departure for econometrics. The primary focus of this book is to provide an understanding of statistical properties behind econometric methods. Following the introduction in Chapter 1, Chapter 2 provides the methodological review of both econometrics and statistics in different periods since the 1930s. Chapters 3 and 4 explain the underlying theoretical methodologies for estimated equations in the simple regression and multiple regression models and discuss the debates about p-values in particular. This part of the book offers the reader a richer understanding of the methods of statistics behind the methodology of econometrics. Chapters 5–9 of the book are focused on the discussion of regression models using time series data, traditional causal econometric models, and the latest statistical techniques. By concentrating on dynamic structural linear models like state-space models and the Bayesian approach, the book alludes to the fact that this methodological study is not only a science but also an art. This work serves as a handy reference book for anyone interested in econometrics, particularly in relevance to students and academic and business researchers in all quantitative analysis fields.
Author: David F. Hendry
Publisher:
ISBN: 9780198283164
Category : Business & Economics
Languages : en
Pages : 918
Get Book Here
Book Description
The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The primary aim of this book is to develop an operational econometric approach which allows constructive modelling. Professor Hendry deals with methodological issues (model discovery, data mining, and progressive research strategies); with major tools for modelling (recursive methods, encompassing, super exogeneity, invariance tests); and with practical problems (collinearity, heteroscedasticity, and measurement errors). He also includes an extensive study of US money demand. The book is self-contained, with the technical background covered in appendices. It is thus suitable for first year graduate students, and includes solved examples and exercises to facilitate its use in teaching. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.
Author: Morong Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
Get Book Here
Book Description
Econometrics is considered scientific under two notions: it applies statistical method for analyzing economic data; and it is empirical. This paper refutes these two notions. As regression just calculates mathematically, instead of statistically, coefficients which are unique to a specific model and dataset, there is nonexistence of t-statistic and therefore noninvolvement of statistical method in econometrics. Econometrics is not empirical because it neither investigates particular situations nor determines kinds. On the other hand, econometrics, by letting an uncontrollable error term in regression models, allows researchers to try any models for finding the results they want. This in turn easily makes econometrics a kind of con job. For all multi regression models, econometrics is essentially working on abstract numbers of no existential reference. These defects determine that econometrics cannot be saved. Preliminary evidences show that econometrics is just alchemy. Application of econometrics to verifying asset pricing models is one of the typical illustrations of the assertion.
Author: Jennifer Castle
Publisher: Oxford University Press, USA
ISBN: 9780198743781
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
Building upon, and celebrating the work of David F. Hendry, this volume consists of a number of specially commissioned pieces from some of the leading econometricians in the world. It reflects on the recent advances in econometrics and considers the future progress for the methodology of econometrics.
Author: Daniel J. Slottje
Publisher: Springer Science & Business Media
ISBN: 3642936415
Category : Business & Economics
Languages : en
Pages : 392
Get Book Here
Book Description
Articles on econometric methodology with special reference to the quantification of poverty and economic inequality are presented in this book. Poverty and inequality measurement present special problems to the econometrician, and most of these papers analyze how to attack those problems. The topics and contributions in the book are a very good representation of Camilo Dagum's astounding diversity of interests and overall eclecticism. Several of the authors are leading pioneers in econometric methodology. Several others are pioneers in economic theory and others are the leading applied economists in income distribution analysis in the world. The topics accurately reflect Camilo Dagum's breadth of understanding across varios economic sub-fields, all complex in nature.
Author: W.M. Mason
Publisher: Springer Science & Business Media
ISBN: 1461385369
Category : Business & Economics
Languages : en
Pages : 402
Get Book Here
Book Description
The existence of the present volume can be traced to methodological concerns about cohort analysis, all of which were evident throughout most of the social sciences by the late 1970s. For some social scientists, they became part of a broader discussion concerning the need for new analytical techniques for research based on longitudinal data. In 1976, the Social Science Research Council (SSRC), with funds from the National Institute of Education, established a Committee on the Methodology of Longitudinal Research. (The scholars who comprised this committee are listed at the front of this volume. ) As part of the efforts of this Committee, an interdisciplinary conference on cohort analysis was held in the summer of 1979, in Snowmass, Colorado. Much of the work presented here stems from that conference, the purpose of which was to promote the development of general methodological tools for the study of social change. The conference included five major presentations by (1) William Mason and Herbert Smith, (2) Karl J6reskog and Dag S6rbom, (3) Gregory Markus, (4) John Hobcraft, Jane Menken and Samuel Preston, and (5) Stephen Fienberg and William Mason. The formal presentations were each followed by extensive discussion, which involved as participants: Paul Baltes, William Butz, Philip Converse, Otis Dudley Duncan, David Freedman, William Meredith, John Nesselroade, Daniel Price, Thomas Pullum, Peter Read, Matilda White Riley, Norman Ryder, Warren Sanderson, Warner Schaie, Burton Singer, Nancy Tuma, Harrison White, and Halliman Winsborough.