Paper

Spiess, M. and Keller, F. (1998): A mixed approach and a distribution free multiple imputation technique for the estimation of multivariate probit models with missing values. Collaborative Research Center 386, Discussion Paper 102

Spiess, M. and Nagl, W. and Hamerle, Alfred (1997): Probit models: Regression parameter estimation using the ML principle despite misspecification of the correlation structure. Collaborative Research Center 386, Discussion Paper 67

Spiess, M. and Hamerle, Alfred (1996): On the properties of GEE estimators in the presence of invariant covariates. Collaborative Research Center 386, Discussion Paper 13

Spiess, M. and Hamerle, Alfred (1996): Estimation of multivariate probit models: A mixed generalized estimating/pseudo-score equations approach and some finite sample results. Collaborative Research Center 386, Discussion Paper 46

Spiess, M. and Hamerle, Alfred (1995): Regression Models with Correlated Binary Response Variables: A Comparison of Different Methods in Finite Samples. Collaborative Research Center 386, Discussion Paper 10