{"title":"LifeSim: A Lifecourse Dynamic Microsimulation Model of the Millennium Birth Cohort in England","authors":"I. Skarda, M. Asaria, R. Cookson","doi":"10.1101/2021.02.12.21251642","DOIUrl":null,"url":null,"abstract":"We present a novel dynamic microsimulation model that undertakes stochastic transition modelling of a rich set of developmental, economic, social and health outcomes from birth to death for each child in the Millennium Birth Cohort (MCS) in England. The model is implemented in R and draws initial conditions from the MCS by re-sampling a population of 100,000 children born in the year 2000, and simulates long-term outcomes using life-stage specific stochastic equations. Our equations are parameterised using effect estimates from existing studies combined with target outcome levels from up-to-date administrative and survey data. We present our baseline projections and a simple validation check against external data from the British Cohort Study 1970 and Understanding Society survey.","PeriodicalId":37916,"journal":{"name":"International Journal of Microsimulation","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Microsimulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2021.02.12.21251642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 10
Abstract
We present a novel dynamic microsimulation model that undertakes stochastic transition modelling of a rich set of developmental, economic, social and health outcomes from birth to death for each child in the Millennium Birth Cohort (MCS) in England. The model is implemented in R and draws initial conditions from the MCS by re-sampling a population of 100,000 children born in the year 2000, and simulates long-term outcomes using life-stage specific stochastic equations. Our equations are parameterised using effect estimates from existing studies combined with target outcome levels from up-to-date administrative and survey data. We present our baseline projections and a simple validation check against external data from the British Cohort Study 1970 and Understanding Society survey.
期刊介绍:
The IJM covers research in all aspects of microsimulation modelling. It publishes high quality contributions making use of microsimulation models to address specific research questions in all scientific areas, as well as methodological and technical issues. IJM concern: the description, validation, benchmarking and replication of microsimulation models; results coming from microsimulation models, in particular policy evaluation and counterfactual analysis; technical or methodological aspect of microsimulation modelling; reviews of models and results, as well as of technical or methodological issues.