Forecasting economic time series
Analyzes the models, procedures, and measures of economic forecasting with a view to improving forecasting practices. This volume sets the scene by focusing on forecasting when the underlying process can be described by a stationary representation. A companion volume, Zeuthen Lectures on Economic Fo...
Auteurs principaux: | , |
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Format: | Livre |
Langue: | English |
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Cambridge University Press
1998
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author | Clements, M Hendry, D |
author_facet | Clements, M Hendry, D |
author_sort | Clements, M |
collection | OXFORD |
description | Analyzes the models, procedures, and measures of economic forecasting with a view to improving forecasting practices. This volume sets the scene by focusing on forecasting when the underlying process can be described by a stationary representation. A companion volume, Zeuthen Lectures on Economic Forecasting will discuss forecasting in the presence of deterministic nonstationarities. Provides an introduction to forecasting. Discusses first principles; forecasting in univariate processes; Monte Carlo simulation techniques; forecasting in cointegrated systems; forecasting with large-scale macroeconometric models; the value of intercept corrections; forecasting using leading indicators; combining forecasts; multistep estimation; the value of imposing parsimony; and testing forecast accuracy. Sets out recommendations for forecasting practice. Clements is Research Fellow in Economics at the University of Warwick. Hendry is Leverhulme Personal Research Professor of Economics and Fellow of Nuffield College, Oxford University. Author and subject indexes. |
first_indexed | 2024-03-06T19:53:55Z |
format | Book |
id | oxford-uuid:24e2f6a1-f31c-4b03-b5c8-56c4dd1d4b15 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-06T19:53:55Z |
publishDate | 1998 |
publisher | Cambridge University Press |
record_format | dspace |
spelling | oxford-uuid:24e2f6a1-f31c-4b03-b5c8-56c4dd1d4b152022-03-26T11:52:39ZForecasting economic time seriesBookhttp://purl.org/coar/resource_type/c_2f33uuid:24e2f6a1-f31c-4b03-b5c8-56c4dd1d4b15EnglishDepartment of Economics - ePrintsCambridge University Press1998Clements, MHendry, DAnalyzes the models, procedures, and measures of economic forecasting with a view to improving forecasting practices. This volume sets the scene by focusing on forecasting when the underlying process can be described by a stationary representation. A companion volume, Zeuthen Lectures on Economic Forecasting will discuss forecasting in the presence of deterministic nonstationarities. Provides an introduction to forecasting. Discusses first principles; forecasting in univariate processes; Monte Carlo simulation techniques; forecasting in cointegrated systems; forecasting with large-scale macroeconometric models; the value of intercept corrections; forecasting using leading indicators; combining forecasts; multistep estimation; the value of imposing parsimony; and testing forecast accuracy. Sets out recommendations for forecasting practice. Clements is Research Fellow in Economics at the University of Warwick. Hendry is Leverhulme Personal Research Professor of Economics and Fellow of Nuffield College, Oxford University. Author and subject indexes. |
spellingShingle | Clements, M Hendry, D Forecasting economic time series |
title | Forecasting economic time series |
title_full | Forecasting economic time series |
title_fullStr | Forecasting economic time series |
title_full_unstemmed | Forecasting economic time series |
title_short | Forecasting economic time series |
title_sort | forecasting economic time series |
work_keys_str_mv | AT clementsm forecastingeconomictimeseries AT hendryd forecastingeconomictimeseries |