Evaluating binary alignment methods in microsimulation models
AbstractAlignment is a widely adopted technique in the field of microsimulation for social and economic policy research. However, limited research has been devoted to the understanding of their simulation properties. This paper discusses and evaluates six common alignment algorithms used in the dynamic microsimulation through a set of theoretical and statistical criteria proposed in the earlier literature (e.g. Morrison 2006; O'Donoghue 2010). This paper presents and compares the alignment processes, probability transformations, and the statistical properties of alignment outputs in transparent and controlled setups with both synthetic and real life dataset (LII). The result suggests that there is no single best method for all simulation scenarios. Instead, the choice of alignment method might need to be adapted to the assumptions and requirements in a specific project.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology in its series UNU-MERIT Working Paper Series with number 003.
Date of creation: 2012
Date of revision:
Contact details of provider:
Web page: http://www.merit.unu.edu
alignment; microsimulation; algorithm evaluation;
Find related papers by JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Gijs Dekkers & Richard Cumpston, 2012. "On weights in dynamic-ageing microsimulation models," International Journal of Microsimulation, Interational Microsimulation Association, vol. 5(2), pages 59-65.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ad Notten).
If references are entirely missing, you can add them using this form.