Artikel
A generic business process model for conducting microsimulation studies
Microsimulations make use of quantitative methods to analyze complex phenomena in populations. They allow modeling socioeconomic systems based on micro-level units such as individuals, households, or institutional entities. However, conducting a microsimulation study can be challenging. It often requires the choice of appropriate data sources, micro-level modeling of multivariate processes, and the sound analysis of their outcomes. These work stages have to be conducted carefully to obtain reliable results. We present a generic business process model for conducting microsimulation studies based on an international statistics process model. This simplifies the comprehensive understanding of dynamic microsimulation models. A nine-step procedure that covers all relevant work stages from data selection to output analysis is presented. Further, we address technical problems that typically occur in the process and provide sketches as well as references of solutions.
- Language
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Englisch
- Bibliographic citation
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Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 4 ; Pages: 191-211 ; New York: Exeley
- Subject
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multi-source analysis
multivariate modeling
social simulation
synthetic data generation
- Event
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Geistige Schöpfung
- (who)
-
Burgard, Jan Pablo
Dieckmann, Hanna
Krause, Joscha
Merkle, Hariolf
Münnich, Ralf
Neufang, Kristina M.
Schmaus, Simon
- Event
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Veröffentlichung
- (who)
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Exeley
- (where)
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New York
- (when)
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2020
- DOI
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doi:10.21307/stattrans-2020-038
- Handle
- Last update
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10.03.2025, 11:41 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Burgard, Jan Pablo
- Dieckmann, Hanna
- Krause, Joscha
- Merkle, Hariolf
- Münnich, Ralf
- Neufang, Kristina M.
- Schmaus, Simon
- Exeley
Time of origin
- 2020
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CHANNEL PERFORMANCE UNDER VENDOR MANAGED CONSIGNMENT INVENTORY CONTRACT WITH ADDITIVE STOCHASTIC DEMAND
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POLICY-ORIENTED INFERENCE AND THE ANALYST-CLIENT COOPERATION. AN EXAMPLE FROM SMALL-AREA STATISTICS
SPATIAL MICROSIMULATION OF PERSONAL INCOME IN POLAND AT THE LEVEL OF SUBREGIONS
M-ESTIMATORS IN BUSINESS STATISTICS
ROBUST REGRESSION IN MONTHLY BUSINESS SURVEY
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Measurement of enterprise mobility among size classes, taking into account business demography
An application of a complex measure to model–based imputation in business statistics
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SMALL AREA ESTIMATION FOR SKEWED DATA IN THE PRESENCE OF ZEROES
THE OFFICE FOR NATIONAL STATISTICS EXPERIENCE OF COLLECTING AND MEASURING SUBJECTIVE WELL-BEING
CHANNEL PERFORMANCE UNDER VENDOR MANAGED CONSIGNMENT INVENTORY CONTRACT WITH ADDITIVE STOCHASTIC DEMAND
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