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'Practical Microsimulation Modelling' brings together a description and examples of the main methods used in microsimulation modelling used in the field of income distribution analysis. It is structured to develop and use the different types of models used in the field, with a focus on household targeted policy.

Microsimulation Modelling involves the application of simulation methods to micro data for the purposes of evaluating the effectiveness and improving the design of public policy. The field has existed for over 50 years and has been applied to many different policy areas and is a methodology that is applied within both government and academia. This handbook brings together leading authors in the field to describe and discuss the main current issues within the field. The handbook provides an overview of current developments across each of the sub-fields of microsimulation modelling such as tax-benefit, pensions, spatial, health, labour, consumption, transport and land use policy as well as macro-micro, environmental and demographic issues. It focuses also on the modelling different micro units such as households, firms and farms. Each chapter discusses its sub-field under the following headings the main methodologies of the sub-field, survey the literature in the area, critique the literature and propose future directions for research within the sub-field.

The aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy and analysis in a rural context. This is done by providing a comprehensive overview of a particular spatial microsimulation model called SMILE (Simulation Model of the Irish Local Economy). The model has been developed over a ten year period for applied policy analyis in Ireland which is seen as an ideal study area given its large percentage of population living in rural areas. The book reviews the policy context and the state of the art in spatial microsimulation against which SMILE was developed, describes in detail its model design and calibration, and presents example of outputs showing what new information the model provides using a spatial matching process. The second part of the book explores a series of rural issues or problems, including the impacts of new or changing government or EU policies, and examines the contribution that spatial microsimulation can provide in each area.

pre-print ; Data annexe ; There is a growing literature on the use of microsimulation models for agriculture, forestry and land use change (Richardson et al., 2014). Much of this literature addresses issues related to productivity and incomes (O'Donoghue, 2014), however consistent with an increasing global focus on sustainability, there is also increasing interest in combining analyses of both economic and environmental impacts (Ramilan et al., 2011). A sub-field of agricultural microsimulation addresses issues associated with land-use change from agriculture to forestry and vice versa (Ryan and O'Donoghue, 2019; Phimmavong & Keenan, 2020) and vice versa. The former transition is particularly important as it helps to mitigate significant carbon emissions from agriculture. This paper describes the development of a model that incorporates both economic and environmental dimensions of the land-use change from agriculture to forestry. ; This research was supported by the SeQUEsTER Project (Scenarios Quantifying land Use & Emissions Transitions towards Equilibrium with Removals) (EPA Research Programme 2014-2020) - The EPA Research Programme is a Government of Ireland initiative funded by the Department of Communications, Climate Action and Environment, and undertaken as part of the Irish Land Uses (Stimulus Research Programme, project funded by Department of Agriculture, Food and the Marine).

This study estimates both the fiscal and net private return to education using microsimulation models. This is carried out empirically using Irish data across the period 1987–2011. The results indicate that a more generous tax/benefit system, combined with a greater state burden of education costs initially helped increase the individual's return to education, while reducing the state return from investing in education. However, this trend is reversed by 2011 as significant changes to the Irish tax/benefit system were introduced. The methodology utilized allows us to analyse the specific impact of various components of the tax/benefit system upon these returns.

In order to assess people's preferences regarding potential reforms of the Irish state pension system, we surveyed a sample of the Irish adult population about their opinion on a selection of measures and issues related to the redistributive principles and parameters of the pension scheme. Even though very few people are well informed about the pension system, we observe a kind of homogeneity regarding perceptions about the way public pension benefits should be provided. As far as we know, this article represents the first attempt to elicit people's preferences for reforming the state Irish pension system using stated preferences techniques.