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Number of items: 5.

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 [PDF, 386kB]

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 [PDF, 411kB]

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 [PDF, 257kB]

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 [PDF, 355kB]

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 [PDF, 375kB]

This list was generated on Fri Oct 24 16:48:29 2014 CEST.