Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
A procedure to discriminate between stationarity, a break in the mean and a break in persistence in a time series that may exhibit long memory is introduced. The asymptotic properties of test statistics based on the CUSUM statistic are studied. In a Monte Carlo study we further analyze the finite sample properties of the procedure. An application to inflation rates shows the potential of our procedure for future research.