All English publications are published as electronic publications, which can be downloaded below.
To examine the morbidity and functioning disability prospects of an aging population, three theories on predicting morbidity patterns are simulated for the Danish population using the Danish microsimu ...
This paper suggests the use of a combination of Principal Component Analysis (PCA) and classification by Conditional Inference Trees (CTREEs) when estimating transition probabilities depending on a la ...
A general and easily implemented method for alignment in microsimulation models is proposed. The method is called Logit Scaling.
A method for full integration of a static Computable General Equilibrium model (a CGE model) in a Microsimulation model is proposed.
Events are a basic element in most dynamic microsimulation models. According to the Event-Pump Architecture, the core driver of the model is a loop called the event pump. This loop controls when and w ...
In this paper we propose a general mathematical foundation of multinominal alignment. It is demonstrated that there exits an algorithm called Bi-Proportional Scaling that converge to the solution of t ...
We utilize the newly developed dynamic microsimulation model SMILE to make a long-term forecast of detailed housing demand both in terms of key aggregate figures and compositional features of future D ...
The SMILE model is a Danish, dynamic, data-driven microsimulation model. The current version forecasts demography, education level, socioeconomic characteristics and housing demand for the period 2010 ...
Data mining using conditional inference trees (CTREEs) is found to be a useful tool to quantify a discrete response variable conditional on multiple individual characteristics and is generally believe ...
Peter Stephensen
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