Juhl, Ted - In: Economics Bulletin 3 (2004) 34, pp. 1-11
When testing for a change in mean of a time series, the null hypothesis is no change in mean. However, a change in mean causes a bias in the estimation of serial correlation parameters. This bias can cause nonmonotonic power to the point that if the change is big enough, power can go to zero. In...
