A shrinkage type estimator is introduced which has favorable properties in binary regression. Although binary observations are never very far away from the underlying probability, in all interesting cases there is a non-zero distance between observation and underlying mean. The proposed response...

Summary For panels which are observed over a long time it has to be assumed that the effects of covariates vary across time. An estimation method based on local likelihood principles is proposed which allows to estimate the variation of coefficients in the case of discrete responses. Approximate...

Abstract This paper proposes a discrete-time hazard regression approach based on the relation between hazard rate models and excess over threshold models, which are frequently encountered in extreme value modelling. The proposed duration model employs a flexible link function and incorporates...