Institution: University of Alberta
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 | 0.00 | 0.00 | 0.00 | - |
| All Time | 0.00 | 16.15 | 2.02 | 2.52 | 20.69 | 94% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2003 | A score-type and a Hausman-type statistic based on nonsingular generalized inverses | Economics Letters | C | 1 |
| 2003 | The equality of comparable extended families of classical-type and Hausman-type statistics | Journal of Econometrics | A | 1 |
| 1997 | Testing for conditional heteroskedasticity with misspecified alternative hypotheses | Journal of Econometrics | A | 1 |
| 1989 | Some Power Comparisons of Joint and Paired Tests for Nonnested Models under Local Hypotheses | Econometric Theory | B | 2 |
| 1988 | On Point-Optimal Cox Tests | Econometric Theory | B | 2 |
| 1985 | Testing separate models with stochastic regressors | Economic Modeling | C | 2 |
| 1985 | A classical approach to Cox's test for non-nested hypotheses | Journal of Econometrics | A | 1 |
| 1983 | Some aspects of testing non-nested hypotheses | Journal of Econometrics | A | 1 |
| 1981 | A note on the interpretation of the Cox procedure for non-nested hypotheses | Economics Letters | C | 1 |