A NOTE ON FORECASTING WITH ECONOMETRIC MODELS
| dc.creator | Allen, P. Geoffrey | |
| dc.date | 2017-04-01T19:49:59Z | |
| dc.date.accessioned | 2026-07-09T04:03:07Z | |
| dc.description | Forecasts made by econometricians are typically conditioned on actual values of explanatory variables, even when at the time of the forecast, such variables might not be available. As a first step, one might test the adequacy of econometric specification by comparing conditional post sample forecasts with those of a univariate ARIMA model. Second, when explanatory variables must themselves be forecast, those for which this can be done only badly, should be omitted from the final model. A better forecast will result. An example of screening out badly forecasted explanatory variables is presented. | |
| dc.identifier | doi:10.22004/ag.econ.28916 | |
| dc.identifier | https://ageconsearch.umn.edu/record/28916/files/13020264.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/28916 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/544090 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/28916 | |
| dc.title | A NOTE ON FORECASTING WITH ECONOMETRIC MODELS | |
| dc.type | Text |