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.

Sprache
Englisch

Erschienen in
Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 4 ; Pages: 191-211 ; New York: Exeley

Thema
multi-source analysis
multivariate modeling
social simulation
synthetic data generation

Ereignis
Geistige Schöpfung
(wer)
Burgard, Jan Pablo
Dieckmann, Hanna
Krause, Joscha
Merkle, Hariolf
Münnich, Ralf
Neufang, Kristina M.
Schmaus, Simon
Ereignis
Veröffentlichung
(wer)
Exeley
(wo)
New York
(wann)
2020

DOI
doi:10.21307/stattrans-2020-038
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Burgard, Jan Pablo
  • Dieckmann, Hanna
  • Krause, Joscha
  • Merkle, Hariolf
  • Münnich, Ralf
  • Neufang, Kristina M.
  • Schmaus, Simon
  • Exeley

Entstanden

  • 2020

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