Spatial Disaggregation of Social Indicators
An Info-Metrics Approach
Bibliographic Data
| ID | 2063731 |
|---|---|
| Authors | Esteban Fernandez Vazquez (0000-0001-9192-8901, Universidad de Oviedo, corresponding author), Esteban Fernandez-Vazquez, Alberto Diaz Dapena (0000-0001-9343-5166, Universidad de Oviedo), Fernando Rubiera-Morollón, Fernando Rubiera Morollón (0000-0002-4854-0802, Universidad de Oviedo), Ana Viñuela (0000-0002-6017-9124, Universidad de Oviedo) |
| Year | 2020 |
| Volume | 152 |
| Issue | 2 |
| Pages | 809-821 |
| Publication date | 2020-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Indicators Research (JOURNAL) |
| Journal identifiers | ISSN: 0303-8300 • E-ISSN: 1573-0921 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11205-020-02455-z |
| OpenAlex | W3048298118 |
| Language | EN |
| Citations received | 1 |
| References cited | 14 |
In this paper we propose a methodology to obtain social indicators at a detailed spatial scale by combining the information contained in census and sample surveys. Similarly to previous proposals, the method proposed here estimates a model at the sample level to later project it to the census scale. The main novelties of the technique presented are that (i) the small-scale mapping produced is perfectly consistent with the aggregates -regional or national- observed in the sample, and (ii) it does not require imposing strong distributional assumptions. The methodology suggested here follows the basics presented on Golan (2018) by adapting a cross-moment constrained Generalized Maximum Entropy (GME) estimator to the spatial disaggregation problem. This procedure is compared with the equivalent methodology of Tarozzi and Deaton (2009) by means of numerical experiments, providing a comparatively better performance. Additionally, the practical implementation of the methodology proposed is illustrated by estimating poverty rates for small areas for the region of Andalusia (Spain
Cartography · Census · Econometrics · Economic geography · Economic growth · Economics · Entropy (arrow of time · Estimator · Geography · Human geography · Population · Poverty · Regional science · Sample (material · Scale (ratio · Small area estimation · Sociology · Spatial ecology · Statistics · Computer Science · Income, Poverty, and Inequality · Mathematics · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies
A Mathematical Theory of Communication
Micro-Level Estimation of Poverty and Inequality
Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas
A Large-Scale Mapping of Territorial Development Dynamics in Latin America
Deprivation index for small areas in Spain
Spatial Variation in EU Poverty with Respect to Health, Education and Living Standards
Deprivation Index for Small Areas Based on Census Data in Argentina
Model-Assisted Estimation of Small Area Poverty Measures
Estimates of Household Consumption Expenditure at Provincial Level in Italy by Using Small Area Estimation Methods
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |