Show simple item record

dc.contributor.authorWiemers, Emily*
dc.contributor.authorCommins, Patrick*
dc.contributor.authorPitts, Eamonn*
dc.contributor.authorBallas, Dimitris*
dc.contributor.authorClarke, Graham*
dc.date.accessioned2017-07-27T11:37:48Z
dc.date.available2017-07-27T11:37:48Z
dc.date.issued2002-12-01
dc.identifier.citationWiemers, E., Commins, P., Pitts, E., Ballas, D., Clarke, G., Projecting population and labour market trends in rural areas, End of Project Report, Teagasc, 2002.en_GB
dc.identifier.urihttp://hdl.handle.net/11019/1234
dc.descriptionEnd of Project Reporten_GB
dc.description.abstractThis purpose of this project is to develop a spatial model to project population and labour market variables at the small area level in Ireland. The model is called SMILE (Simulation Model for the Irish Local Economy) and is a static and dynamic spatial microsimulation model. Microsimulation attempts to describe economic and social events by modelling the behaviour of individual agents such as persons or firms. Microsimulation models have proved useful in evaluating the impact of policy changes at the micro level. Spatial microsimulation models contain information on geographic units and allow for a regional or local approach to policy analysis. SMILE is based on modelling work on urban systems and employs similar techniques for analysing rural areas. The static model creates a spatially referenced synthetic population of Ireland. Each individual enumerated in the 1991 Census of Population is synthetically constructed and is assigned 11 census characteristics including a District Electoral Division (DED) location. The dynamic element incorporated in SMILE ages the synthetic population by modelling demographic processes including fertility, mortality and internal migration. The dynamic process is used to project population in the medium term; it ages the synthetic 1991 population to 1996. For validation purposes, these 1996 projections are then compared to the 1996 Census of Population. The same process was used to project between the 1996 and the 2002 Census of Population. The results indicate that the accuracy at DED and county level is within acceptable limits. The model will be extended in the next three years, beginning in 2003, with additions including validating individual attributes such as employment status and social class and also including households in the model. This project has created a basic model that can be expanded and developed in the future.en_GB
dc.language.isoenen_GB
dc.publisherTeagascen_GB
dc.relation.ispartofseriesEnd of Project Reports;
dc.subjectSpatial microsimulation modelen_GB
dc.subjectLabour marketen_GB
dc.subjectSMILEen_GB
dc.subjectpopulationen_GB
dc.titleProjecting population and labour market trends in rural areas.en_GB
dc.typeTechnical Reporten_GB
dc.identifier.rmis4847
refterms.dateFOA2018-01-12T08:40:30Z


Files in this item

Thumbnail
Name:
eopr-4847.pdf
Size:
152.3Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record