L. Andreassen, Dennis Fredriksen, H. Gjefsen, E. Halvorsen, N. M. Stølen
Based on a cross- section of the Norwegian population and a comprehensive set of characteristics MOSART is one of the longest running and actively used models in the family of dynamic microsimulation models. The first version was operative in 1990, and its main use has been projections and policy analyses regarding the design and evaluation of the Norwegian pension system. The aim of the paper is to provide an updated overview of the model with technical platform, comparison with other dynamic microsimulation models, the main events included and its main use. of income relationship, estimate separate income relationships for different cohorts. The explanatory variable seniority and stable career path will be replaced with an experience variable that reflects both years work and the stability of ones work history.
{"title":"The dynamic cross-sectional microsimulation model MOSART","authors":"L. Andreassen, Dennis Fredriksen, H. Gjefsen, E. Halvorsen, N. M. Stølen","doi":"10.34196/ijm.00214","DOIUrl":"https://doi.org/10.34196/ijm.00214","url":null,"abstract":"Based on a cross- section of the Norwegian population and a comprehensive set of characteristics MOSART is one of the longest running and actively used models in the family of dynamic microsimulation models. The first version was operative in 1990, and its main use has been projections and policy analyses regarding the design and evaluation of the Norwegian pension system. The aim of the paper is to provide an updated overview of the model with technical platform, comparison with other dynamic microsimulation models, the main events included and its main use. of income relationship, estimate separate income relationships for different cohorts. The explanatory variable seniority and stable career path will be replaced with an experience variable that reflects both years work and the stability of ones work history.","PeriodicalId":37916,"journal":{"name":"International Journal of Microsimulation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69826579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alan Brennan, Charlotte Buckley, Tuong Manh Vu, Charlotte Probst, Alexandra Nielsen, Hao Bai, Thomas Broomhead, Thomas Greenfield, William Kerr, Petra S Meier, JüRgen Rehm, Paul Shuper, Mark Strong, Robin C Purshouse
Largescale individual-level and agent-based models are gaining importance in health policy appraisal and evaluation. Such models require the accurate depiction of the jurisdiction's population over extended time periods to enable modeling of the development of non-communicable diseases under consideration of historical, sociodemographic developments. We developed CASCADEPOP to provide a readily available sociodemographic micro-synthesis and microsimulation platform for US populations. The micro-synthesis method used iterative proportional fitting to integrate data from the US Census, the American Community Survey, the Panel Study of Income Dynamics, Multiple Cause of Death Files, and several national surveys to produce a synthetic population aged 12 to 80 years on 01/01/1980 for five states (California, Minnesota, New York, Tennessee, and Texas) and the US. Characteristics include individuals' age, sex, race/ethnicity, marital/employment/parental status, education, income and patterns of alcohol use as an exemplar health behavior. The microsimulation simulates individuals' sociodemographic life trajectories over 35 years to 31/12/2015 accounting for population developments including births, deaths, and migration. Results comparing the 1980 micro-synthesis against observed data shows a successful depiction of state and US population characteristics and of drinking. Comparing the microsimulation over 30 years with Census data also showed the successful simulation of sociodemographic developments. The CASCADEPOP platform enables modelling of health behaviors across individuals' life courses and at a population level. As it contains a large number of relevant sociodemographic characteristics it can be further developed by researchers to build US agent-based models and microsimulations to examine health behaviors, interventions, and policies.
{"title":"Introducing CASCADEPOP: an open-source sociodemographic simulation platform for us health policy appraisal.","authors":"Alan Brennan, Charlotte Buckley, Tuong Manh Vu, Charlotte Probst, Alexandra Nielsen, Hao Bai, Thomas Broomhead, Thomas Greenfield, William Kerr, Petra S Meier, JüRgen Rehm, Paul Shuper, Mark Strong, Robin C Purshouse","doi":"10.34196/ijm.00217","DOIUrl":"https://doi.org/10.34196/ijm.00217","url":null,"abstract":"<p><p>Largescale individual-level and agent-based models are gaining importance in health policy appraisal and evaluation. Such models require the accurate depiction of the jurisdiction's population over extended time periods to enable modeling of the development of non-communicable diseases under consideration of historical, sociodemographic developments. We developed CASCADEPOP to provide a readily available sociodemographic micro-synthesis and microsimulation platform for US populations. The micro-synthesis method used iterative proportional fitting to integrate data from the US Census, the American Community Survey, the Panel Study of Income Dynamics, Multiple Cause of Death Files, and several national surveys to produce a synthetic population aged 12 to 80 years on 01/01/1980 for five states (California, Minnesota, New York, Tennessee, and Texas) and the US. Characteristics include individuals' age, sex, race/ethnicity, marital/employment/parental status, education, income and patterns of alcohol use as an exemplar health behavior. The microsimulation simulates individuals' sociodemographic life trajectories over 35 years to 31/12/2015 accounting for population developments including births, deaths, and migration. Results comparing the 1980 micro-synthesis against observed data shows a successful depiction of state and US population characteristics and of drinking. Comparing the microsimulation over 30 years with Census data also showed the successful simulation of sociodemographic developments. The CASCADEPOP platform enables modelling of health behaviors across individuals' life courses and at a population level. As it contains a large number of relevant sociodemographic characteristics it can be further developed by researchers to build US agent-based models and microsimulations to examine health behaviors, interventions, and policies.</p>","PeriodicalId":37916,"journal":{"name":"International Journal of Microsimulation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057701/pdf/nihms-1668791.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38830180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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