This paper outlines difficulties with testing economic theories, parti
cularly that the theories may be vague, may relate to a decision inter
val different from the observation period, and may need a metric to co
nvert a complicated testing situation to an easier one. We argue that
it is better to use model selection procedures rather than formal hypo
thesis testing when deciding on model specification. This is because t
esting favors the null hypothesis, typically uses an arbitrary choice
of significance level, and researchers using the same data can end up
with different final models.