As mixture regression models increasingly receive attention from both theory and practice, the question of selecting the correct number of segments gains urgency. A misspecification can lead to an under- or oversegmentation, thus resulting in flawed management decisions on customer targeting or...

This paper demonstrates the extensive scope of an alternative to standardinstrumental variables methods, namely covariate-based methods, for identifying and es-timating effects of interest in general structural systems. As we show, commonly usedeconometric methods, speci…cally parametric,...

In this paper we develop a structural equation model with latent variables in an ordinal setting which allows us to test broker-dealer predictive ability of financial market movements. We use a multivariate logit model in a latent factor framework, develop a tractable estimator based on a...

We use panel data from the US Health and Retirement Study 1992-2002 to estimate theeffect of self-assessed health limitations on active labor market participation of men aroundretirement age. Self-assessments of health and functioning typically introduce anendogeneity bias when studying the...

This paper analyses the link between sustainability-related innovation and sustainability performance and the role that family firms play in this. This theme is particular relevantfrom a European point of view given the large number of firms that are family-owned. Governments often support...

This paper considers the implications of the permanent/transitory decomposition of shocksfor identification of structural models in the general case where the model might contain morethan one permanent structural shock. It provides a simple and intuitive generalization of theinfluential work of...