Spatial Microsimulation: A Reference Guide for Users

1. Introduction to Spatial Microsimulation: History, Methods and Applications
Robert Tanton, Kimberley L. Edwards

2. Building a Static Spatial Microsimulation Model: Data Preparation
Rebecca Cassells, Riyana Miranti, Ann Harding

3. An Evaluation of Two Synthetic Small-Area Microdata Simulation Methodologies: Synthetic Reconstruction and Combinatorial Optimisation
Paul Williamson

4. Estimating Small-Area Income Deprivation: An Iterative Proportional Fitting Approach
Ben Anderson

5. SimObesity: Combinatorial Optimisation (Deterministic) Model
Kimberley L. Edwards, Graham Clarke

6. Spatial Microsimulation Using a Generalised Regression Model
Robert Tanton, Ann Harding, Justine McNamara

7. Creating a Spatial Microsimulation Model of the Irish Local Economy
Niall Farrell, Karyn Morrissey, Cathal O’Donoghue

8. Linking Static Spatial Microsimulation Modelling to Meso-scale Models: The Relationship Between Access to GP Services and Long-Term Illness
Karyn Morrissey, Graham Clarke, Cathal O’Donoghue

9. Projections Using a Static Spatial Microsimulation Model
Yogi Vidyattama, Robert Tanton

10. Limits of Static Spatial Microsimulation Models
Robert Tanton, Kimberley L. Edwards

11. Moses: A Dynamic Spatial Microsimulation Model for Demographic Planning
Belinda Wu, Mark Birkin

12. Design Principles for Micro Models
Einar Holm, Kalle Mäkilä

13. SimEducation: A Dynamic Spatial Microsimulation Model for Understanding Educational Inequalities
Dimitris Kavroudakis, Dimitris Ballas, Mark Birkin

14. Challenges for Spatial Dynamic Microsimulation Modelling
Mark Birkin

15. Validation of Spatial Microsimulation Models
Kimberley L. Edwards, Robert Tanton

16. Conclusions and Future Research Directions
Graham Clarke, Ann Harding

Avainsanat: Social Sciences, Demography, Statistics for Business/Economics/Mathematical Finance/Insurance, Geography (general), Quality of Life Research