Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Experimental subjects usually self-select to the laboratory and this may introduce a bias to the conclusions derived from observing their behavior. We analyze data stored by a subject-pool management program at an experimental laboratory and speculate about the effect of individual decisions on returning. Specifically, we test whether experience and earnings in previous sessions together with demographic variables explain the decision to return to the laboratory. We find that males and (in monetary terms) well-performing subjects are more likely to participate in experiments again.