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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