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 ...
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 ...
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 ...
The paper presents a novel approach to modelling labour market processes in dynamic microsimulation. The method combines and integrates Bayesian simulation based estimation and simulation of the depen ...
The DREAM group has developed the individual based microsimulation model SMILE, which project the housing demand on the Danish housing market. The purpose is to provide a basis for evaluation the futu ...
This paper introduces a new algorithm for pair matching. The method is called SBAM (Sparse Biproportionate Adjustment Matching) and can be characterized as either cross-entropy minimizing or matrix ba ...
This working paper explains the consequences of allowing forecasted emigration of immigrants, i.e. re-emigration, to depend on duration of residence and investigates whether including this characteris ...
Notatet beskriver resultaterne af tre alternative scenarier evalueret i DREAM modellen. I alternativerne stiger produktiviteten i den offentlige sektor, mens serviceniveauet holdes konstant.
Rapporten fremlægger DREAMs langsigtede økonomiske fremskrivning 2013. I fremskrivningen vurderes finanspolitikken at være så godt som holdbar. Dette er første gang siden DREAM startede med at udarbej ...
Rapporten præsenterer og dokumenterer DREAMs befolkningsfremskrivning 2013. I dette års fremskrivning er tilpasningshastigheden til det langsigtede fertilitetsniveau ændret, ligesom beregningen af udv ...