A generic business process model for conducting microsimulation studies

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Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

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VOLUME 21 , ISSUE 4 (August 2020) > List of articles

Special Issue

A generic business process model for conducting microsimulation studies

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

Keywords : multi-source analysis, multivariate modeling, social simulation, synthetic data generation

Citation Information : Statistics in Transition New Series. Volume 21, Issue 4, Pages 191-211, DOI: https://doi.org/10.21307/stattrans-2020-038

License : (CC BY-NC-ND 4.0)

Received Date : 31-January-2020 / Accepted: 30-June-2020 / Published Online: 15-September-2020

ARTICLE

ABSTRACT

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.

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