Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/207047 
Year of Publication: 
2019
Series/Report no.: 
Research Papers in Economics No. 15/19
Publisher: 
Universität Trier, Fachbereich IV - Volkswirtschaftslehre, Trier
Abstract: 
Microsimulations usually contain various transition processes such as births and deaths, relocations, and change in household characteristics. The estimation, organisation, and implementation of these processes can have a substantial impact on the simulation outcomes. We propose to evaluate a dynamic discrete-time stochastic microsimulation using the concept of variance based sensitivity analysis which is well established for indicator assessment in survey statistics. This method is suitable for measuring and comparing the impact of different input factors on the output, even when analytical methods - given the complexity in a dynamic framework - cannot be applied.
Document Type: 
Working Paper

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