A Data-Driven Approach for Agent-Based Modeling: Simulating the Dynamics of Family Formation
Authored by Mazhar Sajjad, Karandeep Singh, Euihyun Paik, Chang-Won Ahn
Date Published: 2016
DOI: 10.18564/jasss.2988
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AnyLogic
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Abstract
In this paper, we propose a data-driven agent-based modeling approach
that boosts the strength of agent-based models (ABM) in the dynamics of
family formation. The proposed model analyzes the impact of
socioeconomic factors on individual decisions about family formations.
The key features of our model are the heterogeneous nature regarding
agent's age and socioeconomic factors: income and education. Based on
these attributes, agents take decisions about acceptable partners and
transition to family formation. One of our objectives is to fill the gap
that exists between the methodologies of demography and agent-based
social simulation. Making such a connection between these two
approaches, this model attempts to incorporate empirical data into
agent-based social simulation which enables us to analyze the transition
of family formation effectively. Further, our simulated results depict
the patterns of the hazards of family formation that are observed at
micro-level dynamics and explains how marriage patterns change overtime.
The proposed work gives a strong insight to strengthen the extent of
demographic analysis through data-driven agent-based approach.
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