Institution: Banca d'Italia
Primary Field: Econometrics (weighted toward more recent publications)
Scores use coauthorship adjustment: α/n credit per paper, where n = number of authors. α = 2.02: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).
| Period | S (4x) | A (2x) | B (1x) | C (½x) | Total | Percentile |
|---|---|---|---|---|---|---|
| Last 5 Years | 0.00 | 1.68 | 0.34 | 0.00 | 2.02 | 57% |
| Last 10 Years | 0.00 | 1.68 | 1.35 | 0.00 | 3.03 | 58% |
| All Time | 0.00 | 3.70 | 3.36 | 0.34 | 7.40 | 85% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2025 | Machine Learning for Economic Policy | Journal of Econometrics | A | 6 |
| 2023 | The power of text-based indicators in forecasting Italian economic activity | International Journal of Forecasting | B | 6 |
| 2022 | Can we measure inflation expectations using Twitter? | Journal of Econometrics | A | 4 |
| 2017 | The predictive power of Google searches in forecasting US unemployment | International Journal of Forecasting | B | 2 |
| 2013 | Comparing forecast accuracy: A Monte Carlo investigation | International Journal of Forecasting | B | 2 |
| 2012 | Are moving average trading rules profitable? Evidence from the European stock markets | Applied Economics | C | 3 |
| 2009 | Asymmetric effects of the business cycle on bank credit risk | Journal of Banking & Finance | B | 2 |
| 2006 | A long-run Pure Variance Common Features model for the common volatilities of the Dow Jones | Journal of Econometrics | A | 2 |