Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
By extending a methodology dating back to Jovanovic (1982), we develop a comprehensive theory of optimal timing of decisions based on continuation value functions and operators that act on them. Rewards can be bounded or unbounded. One advantage of this approach over standard Bellman methods is that continuation value functions are smoother than value functions. Another is that, for a range of problems, the continuation value function exists in a lower dimensional space than the value function. We exploit these advantages to obtain a range of new results on optimality, optimal behavior and efficient computation.