Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Forecasts based on two information sets, one of which includes the other plus additional causal variables are considered. Given a general cost function of forecast errors, it is shown that the expected cost is smaller for the information set that includes the causal variables.