ABSTRACT
In this chapter, the authors look at scores on their dependent variables to get an overall impression of the extent to which the regimes in their sample make a significant difference and achieve optimal solutions. They examine intraregime changes occurring as a regime spawns a new component or moves from one phase to another. The authors explore patterns of variance across as well as within regimes, drawing on their complete database. They aims to determine how far their core model—conceiving of regime effectiveness as a function of particular notions of problem malignancy and problem-solving capacity—can help us account for the variance actually observed in regime performance. Regimes can have a fair amount of success in dealing also with malign problems. In several cases—LRTAP being a good example—regimes seem to have benefited significantly from learning on the part of the actors involved.
