Misspecification tests of individual assumptions underlying regression
models often lead to erroneous conclusions regarding source of misspe
cification. Monte Carlo experiments demonstrate that a comprehensive s
et of individual and joint tests reduces the likelihood of such conclu
sions. A practical testing strategy is proposed and suggestions made r
egarding its implementation.