Nowcasting in microsimulation models: a methodological survey
O'Donoghue, Cathal Loughrey, Jason
O'Donoghue, Cathal
Loughrey, Jason
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Publication Date
2014-01-01
Type
Article
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Citation
O'Donoghue, Cathal; Loughrey, Jason (2014). Nowcasting in microsimulation models: a methodological survey. Journal of Artificial Societies and Social Simulation 17 (4),
Abstract
In this paper, we survey the use of nowcasting methods in Microsimulation models. These nowcasting methods differ in a number of respects to the more established methods of forecasting. The main distinction is that while forecasting extrapolates from current data to estimate the future, the methods of nowcasting extrapolate from data of the recent past to reflect the present situation. In this paper, we undertake a survey of a number of modelling teams globally, selected for their experience and breadth of use with the methodologies of nowcasting and to ascertain the modelling choices made. Different methodologies are used to adjust the different components, with indexation or price uprating applied for the adjustments to growth in wages or prices, the updating of tax-benefit policy to adjust for policy change and either static or dynamic ageing to account for changes to the population and labour market structure. Our survey reports some of the choices made. We find that these model teams are increasingly utilising variants of these methods for short-term projections, which is relatively novel relative to the published literature.
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Publisher
Journal of Artificial Societies and Social Simulation
Publisher DOI
10.18564/jasss.2635
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Attribution-NonCommercial-NoDerivs 3.0 Ireland