Abstract
This chapter outlines some of the limits of static spatial microsimulation models. There are four issues covered in this chapter, being data limitations; how adding different benchmark tables affects the results; issues with non-converging areas when too many benchmark tables are specified; and how a non-representative sample for the survey data affects results.
Our conclusions are that the main data limitation is getting two comparable datasets; that increasing the number of benchmarks makes the final weights more generalisable but increases the number of non-converging areas; and that using within-area records may give slightly better results for some areas, but not for all areas.
Our conclusions are that the main data limitation is getting two comparable datasets; that increasing the number of benchmarks makes the final weights more generalisable but increases the number of non-converging areas; and that using within-area records may give slightly better results for some areas, but not for all areas.
| Original language | English |
|---|---|
| Title of host publication | Spatial microsimulation: a reference guide for users |
| Editors | Robert Tanton, Kimberley L Edwards |
| Place of Publication | Netherlands |
| Publisher | Springer |
| Pages | 161-168 |
| Number of pages | 8 |
| Volume | 6 |
| Edition | 1 |
| ISBN (Electronic) | 9789400746237 |
| ISBN (Print) | 9789400746220 |
| DOIs | |
| Publication status | Published - 2013 |