Estimating the Uncertainty of a Small Area Estimator Based on a Microsimulation Approach
Bibliographic Data
| ID | 2331050 |
|---|---|
| Authors | Angelo Moretti (0000-0001-6543-9418, Manchester Metropolitan University, corresponding author), Adam Whitworth (0000-0001-6119-9373, Department of Geography, University of Sheffield1, United Kingdom) |
| Year | 2023 |
| Volume | 52 |
| Issue | 4 |
| Pages | 1785-1815 |
| Publication date | 2023-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124120986199 |
| OpenAlex | W3128851091 |
| Language | EN |
| Citations received | 2 |
| References cited | 41 |
Spatial microsimulation encompasses a range of alternative methodological approaches for the small area estimation (SAE) of target population parameters from sample survey data down to target small areas in contexts where such data are desired but not otherwise available. Although widely used, an enduring limitation of spatial microsimulation SAE approaches is their current inability to deliver reliable measures of uncertainty-and hence confidence intervals-around the small area estimates produced. In this article, we overcome this key limitation via the development of a measure of uncertainty that takes into account both variance and bias, that is, the mean squared error. This new approach is evaluated via a simulation study and demonstrated in a practical application using European Union Statistics on Income and Living Conditions data to explore income levels across Italian municipalities. Evaluations show that the approach proposed delivers accurate estimates of uncertainty and is robust to nonnormal distributions. The approach provides a significant development to widely used spatial microsimulation SAE techniques
Data mining · Econometrics · Economics · Estimation · Estimator · Measure (data warehouse) · Microsimulation · Population · Range (aeronautics) · Sample (material) · Sample size determination · Small area estimation · Statistics · Variance (accounting) · Computer Science · demographic modeling and climate adaptation · Engineering · Insurance, Mortality, Demography, Risk Management · Mathematics · Migration, Aging, and Tourism Studies
An Introduction to the Bootstrap
Model Assisted Survey Sampling
Calibration Estimators in Survey Sampling
A Generalization of Sampling Without Replacement from a Finite Universe
Small Area Estimation of Poverty under Structural Change
Sustaining evidence-based policing in an era of cuts
Microsimulation Methods in Spatial Analysis and Planning
The neighbourhood matters
Dasymetric Modeling and Uncertainty
The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records
Small Area Estimation of Latent Economic Well-being
Local Comparisons of Small Area Estimates of Poverty
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |