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Econometrics: Alchemy Or Science?
"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, usi...
Modelling our Changing World
This open access book focuses on the concepts, tools and techniques needed to successfully model ever-changing time-series data. It emphasizes the need for general models to account for the complexities of the modern world and how these can be applied to a range of issues facing Earth, from modelling volcanic eruptions, carbon dioxide emissions and global temperatures, to modelling unemployment rates, wage inflation and population growth. Except where otherwise noted, this book is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.
The Cambridge History of Twentieth-Century English Literature
Publisher Description
The Penguin Book of Scottish Short Stories
Penguin brings you the finest short stories by the greatest writers 'In this collection the heretical principle has been adopted that if a writer is Scots, something of the Scottish spirit must inevitably emerge from his work.' In the twenty stories collected here we are given a multi-faceted view of Scotland, the Scots and the Scottish short story. With stories ranging from Roman Britain through the trials of those at home during the Second World War to a country and people determined to assert their independence.
Cointegration, Causality, and Forecasting
The book is a collection of essays in honour of Clive Granger. The chapters are by some of the world'leading econometricians, all of whom have collaborated with or studied with (or both) Clive Granger. Central themes of Grangers work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.
Econometric Modeling
Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques. David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrated systems. In each setting, a statistical model is constructed to explain the observed variation in...
Testing Exogeneity
This book discusses the nature of exogeneity - a central concept in econometrics - and shows how to test for it through numerous substantive empirical examples. Part I considers what exogeneity is and how it can be tested. Part II contains applications to models of expenditure, money demand, inflation, wages and prices, and exchange rates across both developed and developing countries. Part III extends various tests of constancy and forecast accuracy, which are central to testing super exogeneity. The papers forming the core of this book (from two special issues of the Journal of Policy Modeling) provide a unique and unified perspective on applied econometric modelling in general and on exogeneity tests in particular. The applications are substantive and diverse, with a broad appeal to the applied economist.Contributors: H. Ahumada, G. Bardsen, J. Campos, M. Deutsch, R. F. Engle, Neil R. Ericsson, C. W. J. Granger, B. E. Hansen, David F. Hendry, J. Hunter, S. Johansen, K. Juselius, R. Numoen, Jean-Francois Richard
The Methodology and Practice of Econometrics
David F. Hendry is a seminal figure in modern econometrics. He has pioneered the LSE approach to econometrics, and his influence is wide ranging. This book is a collection of papers dedicated to him and his work. Many internationally renowned econometricians who have collaborated with Hendry or have been influenced by his research have contributed to this volume, which provides a reflection on the recent advances in econometrics and considers the future progress for the methodology of econometrics. Central themes of the book include dynamic modelling and the properties of time series data, model selection and model evaluation, forecasting, policy analysis, exogeneity and causality, and encom...
The Foundations of Econometric Analysis
Collection of classic papers by pioneer econometricians
Forecasting
Concise, engaging, and highly intuitive—this accessible guide equips you with an understanding of all the basic principles of forecasting Making accurate predictions about the economy has always been difficult, as F. A. Hayek noted when accepting his Nobel Prize in economics, but today forecasters have to contend with increasing complexity and unpredictable feedback loops. In this accessible and engaging guide, David Hendry, Michael Clements, and Jennifer Castle provide a concise and highly intuitive overview of the process and problems of forecasting. They explain forecasting concepts including how to evaluate forecasts, how to respond to forecast failures, and the challenges of forecasting accurately in a rapidly changing world. Topics covered include: What is a forecast? How are forecasts judged? And how can forecast failure be avoided? Concepts are illustrated using real-world examples including financial crises, the uncertainty of Brexit, and the Federal Reserve’s record on forecasting. This is an ideal introduction for university students studying forecasting, practitioners new to the field and for general readers interested in how economists forecast.
