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 = 2.01: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).
| Period | S (4x) | A (2x) | B (1x) | C (½x) | Total |
|---|---|---|---|---|---|
| Last 5 Years | 0.00 | 0.00 | 1.68 | 0.00 | 2.01 |
| Last 10 Years | 0.00 | 1.01 | 2.68 | 0.00 | 5.03 |
| All Time | 0.00 | 1.01 | 3.35 | 0.00 | 6.20 |
| 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 |