Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Using an empirical likelihood approach, we show that generalized linear models can still be consistently estimated even if dependent variables are not missing at random, and derive a Hausman test by comparing this estimator to the standard one.