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Paper
Spiess, M. und Keller, F.
(1998):
A mixed approach and a distribution free multiple imputation technique for the estimation of multivariate probit models with missing values.
Sonderforschungsbereich 386, Discussion Paper 102
[PDF, 386kB]
Spiess, M.; Nagl, W. und Hamerle, Alfred
(1997):
Probit models: Regression parameter estimation using the ML principle despite misspecification of the correlation structure.
Sonderforschungsbereich 386, Discussion Paper 67
[PDF, 411kB]
Spiess, M. und Hamerle, Alfred
(1996):
On the properties of GEE estimators in the presence of invariant covariates.
Sonderforschungsbereich 386, Discussion Paper 13
[PDF, 257kB]
Spiess, M. und Hamerle, Alfred
(1996):
Estimation of multivariate probit models: A mixed generalized estimating/pseudo-score equations approach and some finite sample results.
Sonderforschungsbereich 386, Discussion Paper 46
[PDF, 355kB]
Spiess, M. und Hamerle, Alfred
(1995):
Regression Models with Correlated Binary Response Variables: A Comparison of Different Methods in Finite Samples.
Sonderforschungsbereich 386, Discussion Paper 10
[PDF, 375kB]