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In this paper we analyze asymmetric information in the (private) disability insurance, which has not been analyzed before in the literature, but covers one of the most important risks faced by individuals in modern society, namely the loss of human capital. We show that there is asymmetric...
Persistent link: https://www.econbiz.de/10011133582
A constructive proof of identification of multilinear decompositions of multiway arrays is presented. It can be applied to show identification in a variety of multivariate latent structures. Examples are finite-mixture models and hidden Markov models. The key step to show identification is the...
Persistent link: https://www.econbiz.de/10011103465
A constructive proof of identification of multilinear decompositions of multiway arrays is presented. It can be applied to show identification in a variety of multivariate latent structures. Examples are finite-mixture models and hidden Markov models. The key step to show identification is the...
Persistent link: https://www.econbiz.de/10011103471
We use latent class analysis to categorize development experiences. This technique allows us to consider a broad range of country characteristics including per capita income growth, health, inequality, environmental performance, and life satisfaction. We show that each of these indicators is...
Persistent link: https://www.econbiz.de/10011112000
This paper proposes a finite mixture model (FMM) to model the behavioral transition of calorie consumption with an assumption that nutrition consumption is a mixture of two different behavioral stages: a poor stage and an affluent stage. Based on 387 calorie-income elasticities collected from 90...
Persistent link: https://www.econbiz.de/10011155531
Longitudinal data is becoming increasingly common and various methods have been developed to analyze this type of data. Profiles from time-course gene expression studies, where cluster analysis plays an important role to identify groups of co-expressed genes over time, are investigated. A number...
Persistent link: https://www.econbiz.de/10010871335
Diagnosing foehn winds from weather station data downwind of topographic obstacles requires distinguishing them from other downslope winds, particularly nocturnal ones driven by radiative cooling. We present an automatic classification scheme to obtain reproducible results that include...
Persistent link: https://www.econbiz.de/10010839571
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