Abstract
This paper surveys some applications of artificial regres- sions including the GAUSS-NEWTON, Double-Length and Binary Response Model regressions as testing tools for panel data models. In addition, seve- ral other artificial regression tests are reviewed including HAUSMAN's (1978) specification test, CHAMBERLAIN's (1982) omnibus goodness-of-fit test and WOOLDRIDGE's (1995) simple variable addition tests for selection bias. The important point to emphasize is that in many cases these artificial regres- sions provide the easiest way to compute specification tests, and in most cases provide a reasonably easy way to do so.
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