| dc.contributor | 國貿系 | - |
| dc.creator (作者) | 荒井夏來 | zh_TW |
| dc.creator (作者) | Natsuki Arai | - |
| dc.date (日期) | 2014-01 | - |
| dc.date.accessioned | 3-Nov-2015 16:57:20 (UTC+8) | - |
| dc.date.available | 3-Nov-2015 16:57:20 (UTC+8) | - |
| dc.date.issued (上傳時間) | 3-Nov-2015 16:57:20 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/79302 | - |
| dc.description.abstract (摘要) | Recently, Patton and Timmermann (2012) proposed a more powerful kind of forecast efficiency regression at multiple horizons, and showed that it provides evidence against the efficiency of the Fed’s Greenbook forecasts. I use their forecast efficiency evaluation to propose a method for adjusting the Greenbook forecasts. Using this method in a real-time out-of-sample forecasting exercise, I find that it provides modest improvements in the accuracies of the forecasts for the GDP deflator and CPI, but not for other variables. The improvements are statistically significant in some cases, with magnitudes of up to 18% in root mean square prediction error. | - |
| dc.format.extent | 392561 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | International Journal of Forecasting,30(1),12-19 | - |
| dc.subject (關鍵詞) | Evaluating forecasts; Forecast efficiency; Adjusting forecasts; Real-time data; The Greenbook forecast | - |
| dc.title (題名) | Using Forecast Evaluation to Improve the Accuracy of the Greenbook Forecast | - |
| dc.type (資料類型) | article | en |
