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Spatial Microsimulation with R
2016Generate and Analyze Multi-Level DataSpatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language.Get Insight into Complex BehaviorsThe book progresses ...
Dumont, Morgane, Lovelace, Robin
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2017
In previous chapters, the author used Markov models to estimate the burden of disease and the potential impact of interventions. One of the key limitations to Markov models is that they don’t take into account a person’s unique individual characteristics: Markov models are designed to efficiently simulate the average outcome for an entire population ...
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In previous chapters, the author used Markov models to estimate the burden of disease and the potential impact of interventions. One of the key limitations to Markov models is that they don’t take into account a person’s unique individual characteristics: Markov models are designed to efficiently simulate the average outcome for an entire population ...
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Microsimulation methods for population projection
Population, 1998Résumé Van Imhoff (Evert), Post (Wendy). - Méthodes de micro-simulation pour des projections de population La micro-simulation se distingue de la macro-simulation traditionnelle, en utilisant un échantillon plutôt que la population totale, en travaillant au niveau de données individuelles plutôt que de données agrégées, et en se basant sur des ...
Wendy Post, Evert Van Imhoff
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Incorporating Artificial Intelligence in Microsimulation
Geografiska Annaler, Series B: Human Geography, 2001The analysis of the behaviours of individuals or small groups of individuals has many applications in economic and social policy, in particular in the study of the impacts of alternative policy measures. Microsimulation models allow such microanalyses to be quantitative and empirical.
Magnus Åström +1 more
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A DEVS model for demographic microsimulation
Proceedings of the 2010 Spring Simulation Multiconference, 2010Microsimulation is increasingly applied in demography to project the development of populations. A stochastic model is being introduced that describes individual life courses on a continuous time base. Life courses are determined by sequences of demographic events.
Sabine Zinn +3 more
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Combining Microsimulation and Regression: Comment
Econometrica, 1975IN A RECENT ARTICLE in Econometrica [1] Barbara Bergmann argues that "improvement over the usual regression procedures can be gained by a combination of a very simple do-it-yourself simulation with regression." She asserts that this approach can provide insights which would not be found using a regression approach, and claims that simulation-regression
Mirer, Thad W, Peck, Jon K
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Confessions of a Microsimulator
Historical Methods: A Journal of Quantitative and Interdisciplinary History, 1993The author discusses problems involved in modeling the effects of demographic factors on historical kinship patterns with a focus on microsimulation models. "Since microsimulations of kinship ignore the correlations in demographic behavior within kin groups they ordinarily understate the variance of kinship distributions; for many kin types they also ...
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ASPEN: A Microsimulation Model of the Economy
Computational Economics, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Basu, N., Pryor, R., Quint, T.
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Microsimulating Farm Business Performance
2000Over the last ten years the Australian Bureau of Agricultural and Resource Economics (ABARE) has developed methodology for forecasting individual level farm business performance which accounts for the dynamic response of farms to macro level price expectations. This paper describes how these methods can be used in microsimulation.
Kokic, P., Chambers, R., Beare, S.
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Integrating Behavior and Microsimulation Models
2017Microsimulations focus on modeling routine activities of individuals and have been used for modeling and planning urban systems like transportation, energy demand, and epidemiology. On the other hand, planning for emergency situations (e.g., disasters) needs to account for human behavior which is not routine or pre-planned but depends upon the current ...
Nidhi Parikh +2 more
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