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Agent-Based Modelling in Population StudiesSimulating Synthetic Life Courses of Individuals and Couples, and Mate Matching

Agent-Based Modelling in Population Studies: Simulating Synthetic Life Courses of Individuals and... [We present a novel microsimulation approach which is enriched by elements from agent-based modeling. Concretely, we have designed a simulation model and software which facilitate describing and simulating life courses of individuals and couples and conducting mate matching. To define individual and couple behavior we use a continuous-time multi-state model, that is, we use a continuous-time microsimulation model. For mate matching we apply agent-based modeling: first, to each individual who is seeking for a partner a random value is assigned that captures his or her aspiration level regarding the fit with a potential partner. Then, via an empirical likelihood equation we assess the probability that a given woman and a given man would mate. Thereafter, we simulate a decision making process whether two individuals form a couple applying individual aspiration levels and their mating probability. Our description puts into perspective the differences between microsimulation and agent-based modeling, their relative strength, and limitations. We use the ml-DEVS formalism to specify the novel simulation approach and the modeling and simulation framework JAMES II to implement it. Projecting a hypothesized population based on the population of the Netherlands serves to illustrate its potential.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Agent-Based Modelling in Population StudiesSimulating Synthetic Life Courses of Individuals and Couples, and Mate Matching

Part of the The Springer Series on Demographic Methods and Population Analysis Book Series (volume 41)
Editors: Grow, André; Van Bavel, Jan
Zinn, Sabine
Agent-Based Modelling in Population Studies — Aug 12, 2016
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References (31)

Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2017
ISBN
978-3-319-32281-0
Pages
113 –157
DOI
10.1007/978-3-319-32283-4_5
Publisher site
See Chapter on Publisher Site

Abstract

[We present a novel microsimulation approach which is enriched by elements from agent-based modeling. Concretely, we have designed a simulation model and software which facilitate describing and simulating life courses of individuals and couples and conducting mate matching. To define individual and couple behavior we use a continuous-time multi-state model, that is, we use a continuous-time microsimulation model. For mate matching we apply agent-based modeling: first, to each individual who is seeking for a partner a random value is assigned that captures his or her aspiration level regarding the fit with a potential partner. Then, via an empirical likelihood equation we assess the probability that a given woman and a given man would mate. Thereafter, we simulate a decision making process whether two individuals form a couple applying individual aspiration levels and their mating probability. Our description puts into perspective the differences between microsimulation and agent-based modeling, their relative strength, and limitations. We use the ml-DEVS formalism to specify the novel simulation approach and the modeling and simulation framework JAMES II to implement it. Projecting a hypothesized population based on the population of the Netherlands serves to illustrate its potential.]

Published: Aug 12, 2016

Keywords: Smoking Behavior; Aspiration Level; Calendar Time; Micro Model; Microsimulation Model

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