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https://doi.org/10.12758/mda.2021.03

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

[journal article]

Münnich, Ralf
Schnell, Rainer
Brenzel, Hanna
Dieckmann, Hanna
Dräger, Sebastian
Emmenegger, Jana
Höcker, Philip
Kopp, Johannes
Merkle, Hariolf
Neufang, Kristina
Obersneider, Monika
Reinhold, Julian
Schaller, Jannik
Schmaus, Simon
Stein, Petra

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, account... view more

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.... view less

Keywords
Federal Republic of Germany; population; simulation; social research; data capture; model

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
microsimulation methods; spatial microsimulation; social simulation; multivariate modelling; multi-source modelling; synthetic data generation

Document language
English

Publication Year
2021

Page/Pages
p. 241-264

Journal
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 15 (2021) 2

ISSN
2190-4936

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.