Institution: University of Melbourne
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 | 0.00 | 1.68 | 0.34 | 2.02 | 57% |
| Last 10 Years | 0.00 | 2.02 | 2.69 | 0.34 | 5.05 | 72% |
| All Time | 0.00 | 2.02 | 3.36 | 0.84 | 6.22 | 84% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2024 | Detecting statistically significant changes in connectedness: A bootstrap-based technique | Economic Modeling | C | 3 |
| 2023 | Biased expectations | European Economic Review | B | 2 |
| 2021 | Measuring the Connectedness of the Global Economy | International Journal of Forecasting | B | 3 |
| 2020 | Monetary policy shocks from the consumer perspective | Journal of Monetary Economics | A | 2 |
| 2018 | Consumptor economicus: How do consumers form expectations on economic variables? | Journal of Economic Behavior and Organization | B | 2 |
| 2015 | Alternative Weighting Approaches to Computing Indexes of Economic Activity | Journal of Economic Surveys | C | 2 |
| 2012 | Probabilistic forecasting of output growth, inflation and the balance of trade in a GVAR framework | Journal of Applied Econometrics | B | 3 |