Forecasting economic aggregates by disaggregates
In: Working paper series 589
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In: Working paper series 589
In: Advanced texts in econometrics
In: Structural change and economic dynamics, Band 11, Heft 1-2, S. 45-65
ISSN: 1873-6017
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.
In: ECB Working Paper No. 1155
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In: ECB Working Paper No. 589
SSRN
In: International journal of forecasting, Band 21, Heft 2, S. 201-218
ISSN: 0169-2070
In: Blackwell companions to sociology
A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely surveying forecasting in a single volume, the Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed
In: Capitalism and society: a journal of The Center on Capitalism and Society, Band 3, Heft 2
ISSN: 1932-0213
This article explains the basis for a theory of economic forecasting developed over the past decade by the authors. The research has resulted in numerous articles in academic journals, two monographs, Forecasting Economic Time Series, 1998, Cambridge University Press, and Forecasting Nonstationary Economic Time Series, 1999, MIT Press, and three edited volumes, Understanding Economic Forecasts, 2001, MIT Press, A Companion to Economic Forecasting, 2002, Blackwells, and the Oxford Bulletin of Economics and Statistics, 2005. The aim here is to provide an accessible, non-technical, account of the main ideas. The interested reader is referred to the monographs for derivations, simulation evidence, and further empirical illustrations, which in turn reference the original articles and related material, and provide bibliographic perspective.
In: International journal of forecasting, Band 24, Heft 1, S. 22-28
ISSN: 0169-2070
In: The economic journal: the journal of the Royal Economic Society, Band 115, Heft 502, S. C32-C61
ISSN: 1468-0297