Research Article
A Comparison of Autometrics and Penalization Techniques under Various Error Distributions: Evidence from Monte Carlo Simulation
Table 3
Simulation results for Frechet distributed errors.
| | Methods | 0.25 | 0.90 | Potency | Gauge | Potency | Gauge |
| {100, 20} | Autometrics | 0.995 | 0.01 | 0.719 | 0.032 | SCAD | 0.999 | 0.155 | 0.965 | 0.499 | MCP | 0.999 | 0.12 | 0.964 | 0.498 |
| {100, 25} | Autometrics | 0.996 | 0.011 | 0.731 | 0.031 | SCAD | 0.999 | 0.115 | 0.937 | 0.438 | MCP | 0.999 | 0.079 | 0.94 | 0.441 |
| {100, 30} | Autometrics | 0.995 | 0.011 | 0.734 | 0.050 | SCAD | 1 | 0.089 | 0.918 | 0.374 | MCP | 1 | 0.054 | 0.916 | 0.379 |
| {300, 20} | Autometrics | 0.999 | 0.01 | 0.983 | 0.009 | SCAD | 1 | 0.091 | 0.999 | 0.179 | MCP | 1 | 0.078 | 0.998 | 0.18 |
| {300, 25} | Autometrics | 1 | 0.010 | 0.987 | 0.010 | SCAD | 1 | 0.063 | 0.997 | 0.17 | MCP | 1 | 0.05 | 0.997 | 0.168 |
| {300, 30} | Autometrics | 1 | 0.011 | 0.985 | 0.012 | SCAD | 1 | 0.045 | 0.995 | 0.153 | MCP | 1 | 0.032 | 0.995 | 0.141 |
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