Forecasting Economic Time Series (Paperback)

Michael Clements

ISBN 10: 0521634806 / ISBN 13: 9780521634809

Editore: Cambridge University Press, Cambridge, 1998

Riguardo questo articolo

Paperback. David Hendry is one of the world's leading econometricians, and in this major new work he and Michael Clements provide an extended formal analysis of economic forecasting with econometric models: their analysis builds in many of the features of the real world that are often overlooked in traditional, textbook analyses of forecasting. Consequently, Clements and Hendry are able to suggest ways in which existing forecasting practices can be improved, as well as providing a rationale for some of the habitual practices of forecasters that have hitherto lacked a scientific foundation. David Hendry is one of the world's leading econometricians, and in this major new work he and Michael Clements provide an extended formal analysis of economic forecasting with econometric models, building in many of the features of the real world often overlooked in traditional analyses of forecasting. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521634809

Dati bibliografici

Titolo: Forecasting Economic Time Series (Paperback)

Casa editrice: Cambridge University Press, Cambridge

Data di pubblicazione: 1998

Legatura: Paperback

Condizione: new

Descrizione articolo

Riassunto:

An extended formal analysis of economic forecasting co-authored by one of the world's leading econometricians.

Recensione:

'Perhaps one of the most appealing features of the book is the systematic way in which it outlines and uncovers problems in forecasting, lays out possible solutions, and uses Monte Carlo, theoretical and empirical evidence to assess the potential solutions. Another appealing feature is that beginning researchers who are generally interested in serious (empirical) scientific investigation can learn much from noting how Clements and Hendry uncover, assess, and examine important issues in the area of economic forecasting. A third feature worth noting is the plethora of insightful and detailed empirical and Monte Carlo evidence. Forecasting Economic Time Series not only elucidates in detailed fashion how to construct macroeconomic forecasts, but also contains many hints on how to construct good macroeconomic forecasts. This makes it a must for forecasters' Journal of the American Statistical Association