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 | 0.00 | 0.00 | 0.00 | - |
| Last 10 Years | 0.00 | 0.00 | 1.01 | 0.34 | 1.35 | 35% |
| All Time | 0.00 | 1.35 | 4.04 | 0.34 | 5.72 | 83% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2018 | An efficient Bayesian approach to multiple structural change in multivariate time series | Journal of Applied Econometrics | B | 2 |
| 2017 | A fast estimation procedure for discrete choice random coefficients demand model | Applied Economics | C | 3 |
| 2014 | A new structural break model, with an application to Canadian inflation forecasting | International Journal of Forecasting | B | 2 |
| 2014 | Modelling Regime Switching and Structural Breaks with an Infinite Hidden Markov Model | Journal of Applied Econometrics | B | 1 |
| 2012 | Components of Bull and Bear Markets: Bull Corrections and Bear Rallies | Journal of Business & Economic Statistics | A | 3 |