Empirical Model Discovery and Theory Evaluation
Automatic Selection Methods in Econometrics
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.
Hardcover$42.00 S | £33.00 ISBN: 9780262028356 392 pp. | 6 in x 9 in 47 figures, 41 tables
Model discovery lies at the heart of modern econometrics. David Hendry and Jurgen Doornik provide a timely and important introduction to automated methods that aid the discovery process. They temper enthusiasm with erudition, provide good judgment, and offer balance in their discussions. Brilliantly written. An exciting new work in the field.
Peter C. B. Phillips
Sterling Professor of Economics, Yale University
In Empirical Model Discovery and Theory Evaluation, David Hendry and Jurgen Doornik break new ground in model specification, evaluation, and theory testing. This book has far-reaching potential in changing current practice in empirical modeling in economics.
Wilson E. Schmidt Professor of Economics, Virginia Tech
Empirical Model Discovery and Theory Evaluation is highly original and a significant contribution to the field in its careful discussion of the problems met in constructing an appropriate model of econometric data. A fascinating read!
Professor of Econometrics, University of Copenhagen