Generalized score and Wald tests are proposed to examine certain aspec
ts of the specification of panel probit models. The procedures used to
detect misspecifications, such as omitted and superfluous variables,
heteroscedasticity, nonnormality, and random-coefficient variations, a
re designed specifically for the case in which the model is estimated
by sequential methods. The finite-sample distributions of the test sta
tistics in correctly and incorrectly specified models are investigated
by a Monte Carlo study. Applying the proposed procedures to the analy
sis of the determinants of self-employment in Germany shows that the s
uggested specification checks are useful instruments in applied work.