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Автор Kinal, Terrence
Автор Ratner, Jonathan
Дата выпуска 1986
dc.description The usefulness of the vector autoregression (VAR) approach to forecasting regional economies is explored. A VAR model and a Bayesian VAR (BVAR) model of selected New York State economic variables are constructed using monthly data. Their predictions about these variables are compared with ARIMA and transfer function model forecasts. Overall, the accuracy of BVAR matches or exceeds that of the other techniques. Thus, a previous suggestion that BVAR is promising, as a forecasting tool and as a benchmark for regional forecasts, is supported.
Издатель Sage Publications
Название A VAR Forecasting Model of a Regional Economy: Its Construction and Comparative Accuracy
Тип Journal Article
DOI 10.1177/016001768601000202
Print ISSN 0160-0176
Журнал International Regional Science Review
Том 10
Первая страница 113
Последняя страница 126
Аффилиация Kinal, Terrence, Department of Economics, State University of New York at Albany, Albany, New York 12222 USA
Аффилиация Ratner, Jonathan, U.S. General Accounting Office, Office of the Chief Economist, 441 G Street NW, Washington, D.C. 20548 USA
Выпуск 2
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