Nowcasting Annual National Accounts with Quarterly Indicators : An Assessment of Widely Used Benchmarking Methods /
Benchmarking methods can be used to extrapolate (or 'nowcast') low-frequency benchmarks on the basis of available high-frequency indicators. Quarterly national accounts are a typical example, where a number of monthly and quarterly indicators of economic activity are used to calculate prel...
| Автор: | |
|---|---|
| Формат: | Журнал |
| Мова: | English |
| Опубліковано: |
Washington, D.C. :
International Monetary Fund,
2016.
|
| Серія: | IMF Working Papers; Working Paper ;
No. 2016/071 |
| Предмети: | |
| Онлайн доступ: | Full text available on IMF |
| Резюме: | Benchmarking methods can be used to extrapolate (or 'nowcast') low-frequency benchmarks on the basis of available high-frequency indicators. Quarterly national accounts are a typical example, where a number of monthly and quarterly indicators of economic activity are used to calculate preliminary annual estimates of GDP. Using both simulated and real-life national accounts data, this paper aims at assessing the prediction accuracy of three benchmarking methods widely used in the national accounts compilation: the proportional Denton method, the proportional Cholette-Dagum method with first-order autoregressive error, and the regression-based Chow-Lin method. The results show that the Cholette-Dagum method provides the most accurate extrapolations when the indicator and the annual benchmarks move along the same trend. However, the Denton and Chow-Lin methods could prevail in real-life cases when the quarterly indicator temporarily deviates from the target series. |
|---|---|
| Опис примірника: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Фізичний опис: | 1 online resource (25 pages) |
| Формат: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Доступ: | Electronic access restricted to authorized BRAC University faculty, staff and students |