The dynamic cross-sectional microsimulation model MOSART

Q3 Social Sciences International Journal of Microsimulation Pub Date : 2020-01-01 DOI:10.34196/ijm.00214
L. Andreassen, Dennis Fredriksen, H. Gjefsen, E. Halvorsen, N. M. Stølen
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引用次数: 1

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.
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动态截面微仿真模型MOSART
基于挪威人口的横截面和一套全面的特征,MOSART是动态微观模拟模型家族中运行时间最长和积极使用的模型之一。第一版于1990年开始执行,其主要用途是对挪威养恤金制度的设计和评价进行预测和政策分析。本文的目的是提供一个最新的概述模型的技术平台,与其他动态微仿真模型的比较,包括主要事件和它的主要用途。对于收入关系,分别估计不同人群的收入关系。解释变量“资历和稳定的职业道路”将被一个既反映工作年限又反映工作经历稳定性的经验变量所取代。
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来源期刊
International Journal of Microsimulation
International Journal of Microsimulation Mathematics-Modeling and Simulation
CiteScore
0.80
自引率
0.00%
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0
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.
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