On tests and significance in econometrics

Different aims of testing are investigated: theory testing, validity testing, simplification testing, and decision making. Different testing methodologies may serve these aims. In particular, the approaches of Fisher and Neyman-Pearson are considered. We discuss the meaning of statistical significance. Significance tests in the Journal of Econometrics are evaluated. The paper concludes with a challenge to ascertain the impact of statistical testing on economic thought.