Abstract
This paper outlines difficulties with testing economic theories, particularly that the theories may be vague, may relate to a decision interval different from the observation period, and may need a metric to convert a complicated testing situation to an easier one. We argue that it is better to use model selection procedures rather than formal hypothesis testing when deciding on model specification. This is because testing 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.
Original language | English |
---|---|
Pages (from-to) | 173-187 |
Number of pages | 15 |
Journal | Journal of Econometrics |
Volume | 67 |
Issue number | 1 |
DOIs | |
Publication status | Published - May 1995 |
Keywords
- Hypothesis testing
- Model choice
- Non-nested tests
- Selection criteria