During the last decades the inequalities in the distribution of income and wealth in the UK have grown and led to an increasing socio-economic polarisation and dualism (Atkinson, 1996; Hills, 1996; Joseph Rowntree Foundation, 1995). Although average real incomes have grown significantly, at the bottom of the scale there has been little or no rise in real income. In contrast, top incomes have ri...

BACKGROUND Dementia is a complex disorder characterized by poor outcomes for the patients and high costs of care. After decades of research little is known about its mechanisms. Having prognostic estimates about dementia can help researchers, patients and public entities in dealing with this disorder. Thus, health data, machine learning and microsimulation techniques could be employed in develo...

BACKGROUND Colorectal cancer (CRC) is a leading cause of cancer-related mortality. CRC incidence and mortality can be reduced by several screening strategies, including colonoscopy, but randomized CRC prevention trials face significant obstacles such as the need for large study populations with long follow-up. Therefore, CRC screening strategies will likely be designed and optimized based on co...

In this paper we present an account of a 3-year research project that is aimed at dynamically simulating urban and regional populations in Britain. In the context of this project we are using data from the 1991 UK Census Small Area Statistics (SAS) and the British Household Panel Survey (BHPS), in order to dynamically simulate the entire population of Britain into 2021 at the small area level. ...

The aim of this paper is to relate the new microeconometric model on households developed by Istat to the development of the static and behavioural models presented in the literature. Both a survey on the international experiences and a focus on the implication of the static model for policy evaluation are presented.

German demographic or educational projections are conventionally based on macrosimulations. Macrosimulation models use average values of the simulation parameters to compute the updating process. Additionally, the proportions of educational graduate rates stay constant in these models. In this paper I introduce a discrete event microsimulation model which is designed to project the graduate rat...

There is a large gap between the aggregate, trip-based models used by transportation planning agencies and the activity-based, microsimulation methods being espoused by those at the forefront of research. The modeling environment presented here aims to bridge this gap by providing a palatable way for planning agencies to move towards advanced methods. Three components to bridging the gap are em...

There have been significant recent advances in the estimation of labour supply models. Here the hours continuum is split into a number of discrete options and the preferred choice obtained as the solution to a constrained utility maximisation problem. However, the underlying probabilities of an individual being in a particular hours state, are assumed to be those given by standard Logit-type on...

This study embarked upon the development of a nationwide freight activity microsimulation as an acceptable analysis tool for policy assessments. Mode choice component of a large-scale behavioral microsimulation framework, named Freight Activity Microsimulation Estimator (FAME) was developed and validated in this study. The results of a nationwide establishment survey, discussed in earlier studi...