A statement that is being put to the test. In econometrics, economists often start with a null hypothesis that a particular variable equals a particular number, then crunch their data to see if they can prove or disprove it, according to the laws of statistical significance. The null hypothesis chosen is often the reverse of what the experimenter actually believes; it may be put forward to allow the data to contradict it.