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Forecasting Provincial Business Indicator Variables and Forecast Evaluation

Bibliographic Data

ID10859372
AuthorsPrem P Talwar (University of Alberta, corresponding author), Edward J Chambers (University of Alberta)
Year1993
Volume30
Issue10
Pages1763-1773
Publication date1993-12-01
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1080/00420989320081711
OpenAlexW2015747446
LanguageEN
References cited10

This paper evaluates a number of univariate and multivariate time-series forecasting models of selected indicator variables for three Canadian provinces: Alberta, British Columbia and Manitoba. The out of sample forecasts from these models are compared not only with themselves but with common indicators from the quarterly provincial forecast model of the Conference Board of Canada. The concepts of directional accuracy, the conditional efficiency, and the robust regression are used in evaluating the forecasts. In most cases, the strategy of combining forecasts produced superior results to those given by the Conference Board of Canada

Consensus forecast · Econometrics · Economics · Geography · Multivariate statistics · Regression analysis · Sample (material · Statistics · Univariate · Forecasting Techniques and Applications · Grey System Theory Applications · Mathematics · Monetary Policy and Economic Impact

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Highly citedNo

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