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A Population Based Regional Dynamic Microsimulation of Germany: The MikroSim Model

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1.	Title	Title of document	A Population Based Regional Dynamic Microsimulation of Germany: The MikroSim Model
2.	Creator	Author's name, affiliation, country	Ralf Münnich; Trier University, Germany; Germany
2.	Creator	Author's name, affiliation, country	Rainer Schnell; University of Duisburg-Essen, Germany; Germany
2.	Creator	Author's name, affiliation, country	Hanna Brenzel; Federal Statistical Office, Germany; Germany
2.	Creator	Author's name, affiliation, country	Hanna Dieckmann; Trier University, German; Germany
2.	Creator	Author's name, affiliation, country	Sebastian Dräger; Trier University, German; Germany
2.	Creator	Author's name, affiliation, country	Jana Emmenegger; Federal Statistical Office, Germany; Germany
2.	Creator	Author's name, affiliation, country	Philip Höcker; University of Duisburg-Essen, Germany; Germany
2.	Creator	Author's name, affiliation, country	Johannes Kopp; Trier University, Germany; Germany
2.	Creator	Author's name, affiliation, country	Hariolf Merkle; Trier University, Germany; Germany
2.	Creator	Author's name, affiliation, country	Kristina Neufang; Trier University, Germany; Germany
2.	Creator	Author's name, affiliation, country	Monika Obersneider; University of Duisburg-Essen, Germany; Germany
2.	Creator	Author's name, affiliation, country	Julian Reinhold; University of Duisburg-Essen, Germany; Germany
2.	Creator	Author's name, affiliation, country	Jannik Schaller; Federal Statistical Office, Germany; Germany
2.	Creator	Author's name, affiliation, country	Simon Schmaus; Trier University, Germany; Germany
2.	Creator	Author's name, affiliation, country	Petra Stein; University of Duisburg-Essen, Germany; Germany
3.	Subject	Discipline(s)
3.	Subject	Keyword(s)	microsimulation methods, spatial microsimulation, social simulation, multivariate modelling, multi-source modelling, synthetic data generation
4.	Description	Abstract	Microsimulation models are widely used to evaluate the potential effects of different policies on social indicators. Most microsimulation models in use operate on a national level, disregarding regional variations. We describe the construction of a national microsimulation model for Germany, accounting for local variations in each of the more than 10,000 communities in Germany. The database used and the mechanisms implementing the population dynamics are described. Finally, the further development of the database and microsimulation programs are outlined, which will contribute towards a research lab that will be made available to the wider scientific community.
5.	Publisher	Organizing agency, location	gesis - Leibniz Institute for the Social Sciences
6.	Contributor	Sponsor(s)
7.	Date	(YYYY-MM-DD)	2021-07-23
8.	Type	Status & genre	Peer-reviewed Article
8.	Type	Type
9.	Format	File format	PDF
10.	Identifier	Uniform Resource Identifier	https://mda.gesis.org/index.php/mda/article/view/2021.03
10.	Identifier	Digital Object Identifier (DOI)	https://doi.org/10.12758/mda.2021.03
11.	Source	Title; vol., no. (year)	methods, data, analyses; Vol 15, No 2 (2021)
12.	Language	English=en	en
13.	Relation	Supp. Files
14.	Coverage	Geo-spatial location, chronological period, research sample (gender, age, etc.)
15.	Rights	Copyright and permissions	Copyright (c) 2021 Ralf Münnich, Rainer Schnell, Hanna Brenzel, Hannah Diekmann, Sebastian Dräger, Janna Emmenegger, Philip Höcker, Johannes Kopp, Hariolf Merkle, Kristina Neufang, Monika Obersneider, Julian Reinhold, Jannik Schaller, Simon Schmaus, Petra Stein This work is licensed under a Creative Commons Attribution 4.0 International License.