365 research outputs found

    Methods and Tools for the Microsimulation and Forecasting of Household Expenditure - A Review

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    This paper reviews potential methods and tools for the microsimulation and forecasting of household expenditure. It begins with a discussion of a range of approaches to the forecasting of household populations via agent-based modelling tools. Then it evaluates approaches to the modelling of household expenditure. A prototype implementation is described and the paper concludes with an outline of an approach to be pursued in future work

    Methods and Tools for the Microsimulation and Forecasting of Household Expenditure

    Get PDF
    This paper reviews potential methods and tools for the microsimulation and forecasting of household expenditure. It begins with a discussion of a range of approaches to the forecasting of household populations via agent-based modelling tools. Then it evaluates approaches to the modelling of household expenditure. A prototype implementation is described and the paper concludes with an outline of an approach to be pursued in future work

    An Agent-based Model of Household Spending Using a Random Assignment Scheme

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    This paper describes a way to model household expenditure using an agent-based microsimulation approach. Work in this area is dominated by econometric models, which attempt to estimate the parameters of an equation linking household characteristics with expenditure patterns. However, as Klevmarken (1997) notes, the representation of behaviour in these models is limited by the current state of the art in economics. A way to overcome these limitations is proposed based on a random assignment scheme where data is obtained from a donor case that is in some way similar to the receiving unit. The paper begins with a brief account of methods for modelling behaviour currently used in microsimulation. It then introduces the random assignment scheme in an example describing how household incomes can be projected over time. This is illustrated by describing two models that have been implemented using the approach. One of them is to forecast changes in household expenditure in response to variations in income. The other models the effect of the level of unemployment on household spending patterns. These examples provide the basis for a discussion of the strengths and weaknesses of the random assignment met

    DfES Effective video conferencing in the classroom Summary report from six case studies

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    Estimating the small area effects of austerity measures in the UK

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    Governments across Europe are starting to implement a range of cost-cutting and income generating programmes in order to re-balance their fiscal budgets following substantial investments in stabilising domestic financial institutions in 2008 and 2009. One method of doing this has been to increase tax rates such as the increase in VAT in the UK from 17.5% to 20% from January 1st 2011. In this paper we explore the different spatial impact of this VAT rise on household expenditure on public and private transport and communication technology from 2006 to 2016. We do this by combining three elements: an agent-based dynamic population microsimulation model that produces projected snapshots of the UK population in 2006, 2011 and 2016; an expenditure system model based on the familiar Quadratic Almost Ideal Demand System approach; and synthetic small area census tables produced by projecting historical UK census data. Taken together these elements provide a toolkit for assessing the potential spatial impact of rising taxes or prices (or both) and we use them to compare small area projections of household expenditure under two scenarios. The first is a 'no intervention' scenario where prices and income align to UK government inflation forecasts and the second is a one-off non-reversed 2.5% increase in VAT on goods and services rated at 17.5% on 1st January 2011. We present results for different areas (rural vs urban/deprived vs affluent) and for different income groups within them and discuss the potential implications for the telecommunications industry and for the usage of public and private transport

    DfES Video conferencing Case study: Applemore Technology College

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    DfES Video conferencing case study: Icknield Community College

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