Literaturnachweis - Detailanzeige
Autor/in | Zinn, Sabine |
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Titel | Simulating synthetic life courses of individuals and couples, and mate matching. |
Quelle | Aus: Grow, Andre (Hrsg.); Bavel, Jan (Hrsg.): Agent-based modelling in population studies. Concepts, methods, and applications. Cham: Springer (2016) S. 113-157
PDF als Volltext |
Reihe | The Springer Series on Demographic Methods and Population Analysis. 41 |
Beigaben | Literaturangaben |
Sprache | englisch |
Dokumenttyp | online; gedruckt; Sammelwerksbeitrag |
ISBN | 978-3-319-32281-0; 978-3-319-32283-4 |
DOI | 10.1007/978-3-319-32283-4_5 |
Schlagwörter | Modellierung; Bevölkerung; Datenverarbeitung; NEPS (National Educational Panel Study) |
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. (Orig.). |
Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
Update | 2020/2 |