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A synthesis of the authors' groundbreaking econometric research on automatic model selection, which uses powerful computational algorithms and theory evaluation. Economic models of empirical phenomena are developed for a variety of reasons, the most obvious of which is the numerical characterization of available evidence, in a suitably parsimonious form. Another is to test a theory, or evaluate it against the evidence; still another is to forecast future outcomes. Building such models involves a multitude of decisions, and the large number of features that need to be taken into account can overwhelm the researcher. Automatic model selection, which draws on recent advances in computation and search algorithms, can create, and then empirically investigate, a vastly wider range of possibilities than even the greatest expert. In this book, leading econometricians David Hendry and Jurgen Doornik report on their several decades of innovative research on automatic model selection. After introducing the principles of empirical model discovery and the role of model selection, Hendry and Doornik outline the stages of developing a viable model of a complicated evolving process. They discuss the discovery stages in detail, considering both the theory of model selection and the performance of several algorithms. They describe extensions to tackling outliers and multiple breaks, leading to the general case of more candidate variables than observations. Finally, they briefly consider selecting models specifically for forecasting.
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 encompassing. The book strikes a balance between econometric theory and empirical work, and demonstrates the influence that Hendry's research has had on the direction of modern econometrics. Contributors include: Karim Abadir, Anindya Banerjee, Gunnar Bårdsen, Andreas Beyer, Mike Clements, James Davidson, Juan Dolado, Jurgen Doornik, Robert Engle, Neil Ericsson, Jesus Gonzalo, Clive Granger, David Hendry, Kevin Hoover, Søren Johansen, Katarina Juselius, Steven Kamin, Pauline Kennedy, Maozu Lu, Massimiliano Marcellino, Laura Mayoral, Grayham Mizon, Bent Nielsen, Ragnor Nymoen, Jim Stock, Pravin Trivedi, Paolo Paruolo, Mark Watson, Hal White, and David Zimmer.
This volume is dedicated to the memory and the achievements of Professor Sir Clive Granger, economics Nobel laureate and one of the great econometricians and applied economists of the twentieth and early twenty-first centuries. It comprises contributions from leading econometricians and applied economists who knew Sir Clive and interacted with him over the years, and who wished to pay tribute to him as both a great economist and econometrician, and as a great man. This book was originally published as a special issue of Applied Financial Economics.
The World Bank and the IMF have adopted a debt sustainability framework (DSF) to evaluate the risk of debt distress in Low Income Countries (LICs). At the core of the DSF are empirically-based thresholds for each of five different measures of the debt burden (the “debt threshold approach” DTA). The DSF contains a rule for aggregating the information contained in these five different variables which we label the “worst-case aggregator” (WCA) in view of the fact that the DSF considers a breach of any one of the thresholds sufficient to indicate a high risk of debt distress. However, neither the DTA nor the WCA has heretofore been subject to empirical testing. We find that: (1) the DTA loses information relative to a simple proposed alternative; (2) the WCA is too conservative (predicting crises too often) in terms of the loss function used in the DSF; and (3) the WCA is less accurate than some simple proposed alternative aggregators as a predictor of debt distress.
Macroeconomics is evolving in an almost dialectic fashion. The latest evolution is the development of a new synthesis that combines insights of new classical, new Keynesian and real business cycle traditions into a dynamic, stochastic general equilibrium (DSGE) model that serves as a foundation for thinking about macro policy. That new synthesis has opened up the door to a new antithesis, which is being driven by advances in computing power and analytic techniques. This new synthesis is coalescing around developments in complexity theory, automated general to specific econometric modeling, agent-based models, and non-linear and statistical dynamical models. This book thus provides the reader with an introduction to what might be called a Post Walrasian research program that is developing as the antithesis of the Walrasian DSGE synthesis.
This paper analyzes the predictability of currency crises. The paper evaluates three models for predicting currency crises that were proposed before 1997. Two of the models failed to provide useful forecasts. One model provides forecasts that are somewhat informative though still not reliable. Plausible modifications to this model improve its performance, providing some hope that future models may do better. The study suggests, though, that although forecasting models may help indicate vulnerability to crises, the predictive power of even the best of them may be limited.
This paper offers an empirical model of the drivers of the level of the Real Effective Exchange Rate (REER) that is now part of the IMF’s methodology for the assessment of external positions, including exchange rates. It constructs a measure of the level of the REER and it offers a panel regression that considers a large number of cross-sectional and time varying factors, guided by the extensive literature. Its main contribution is to enhance our understanding of the cross-sectional determinants of the level of the REER, while taking into account the time-series drivers. The framework accounts for the much larger cross-sectional variation of the level REER, and can better explain the time series variation of level REER when these are based on GDP-deflators rather than on consumer price indices. The latter suggest there may be merits to broadening the assessments to include such measures, although further analysis is required.
The essays are concise, yet comprehensive, and each essay contains a substantial set of references, which an interested researcher or student could follow up. . . In addition to representing multidisciplinary interactions, this collection encompasses several different perspectives within development economics, so the reader can learn, for example, both about neoclassical approaches and dependency theories in the same volume. This makes the collection unique and all the more valuable. . . This is a very good reference collection, as the individual essays are informative and provide a good overall perspective on the topic that they set out to address. The extensive bibliography at the end of each essay adds further value to this collection. Ashwini Deshpande, Economic and Political Weekly These new volumes impress along two dimensions. First, they highlight important connections between economic development and variables such as culture, warfare, and ethnicity, which are sometimes ignored by mainstream economists. Second, they analyze the economic development experience of different regions such as Africa, Latin America, and East Asia. . . a valuable reference for scholars and practitioners in the field. Highly recommended. H.A. Faruq, Choice This two-volume original reference work provides a comprehensive overview of development economics and comprises contributions by some of the leading scholars working in the field. Authors are drawn from around the world and write on a wide range of topics. After providing an introduction to the subject (by examining issues like the meaning and measurement of development, historical and interdisciplinary approaches, empirical regularities and data problems), the contributors provide a wealth of perspectives on, and analyses of, development economics. They discuss alternative approaches to development, the macroeconomics of growth, factors and sources of economic development (such as capital, labor, entrepreneurship, resources and technology), major sectors of concern (such as agriculture, industry, services and the informal sector) and international issues (such as trade, capital and labor flows and technology transfers). Income distribution and poverty, the state and other institutions, and actual development experiences are explored. The contributors provide analytical contributions, as well as the relation between these contributions and real world and policy issues from a variety of alternative perspectives. Scholars, students, policymakers and other development practitioners will all find this comprehensive reference invaluable.