Dependencia espacial de la tasa municipal de desempleo en Andalucía. Un análisis espacial exploratorio
Bibliographic Data
| ID | 15039715 |
|---|---|
| Authors | Antonio Jesús Acevedo Blanco (0000-0002-3627-1326, Universidad Nacional de Educación a Distancia, corresponding author), Violante Martínez Quintana, María Violante Martínez Quintana (0000-0001-6208-1318, Universidad Nacional de Educación a Distancia) |
| Year | 2021 |
| Issue | 51 |
| Publication date | 2021-05-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Empiria Revista de metodología de ciencias sociales (JOURNAL) |
| Journal identifiers | ISSN: 1139-5737 • E-ISSN: 2174-0682 |
| Publisher | UNED - Universidad Nacional de Educacion a Distancia (PUBLISHER) |
| DOI | 10.5944/empiria.51.2021.30809 |
| OpenAlex | W3160095476 |
| Language | ES |
| Citations received | 1 |
| References cited | 16 |
El presente trabajo examina la dependencia espacial, global y local, de la Tasa Municipal de Desempleo en Andalucía. Aplicando el software Geoda realizamos en primer lugar un ejercicio exploratorio encaminado a identificar los valores atípicos superiores del indicador. Posteriormente se implementan estadísticos propios del Análisis Espacial Exploratorio para determinar la dependencia espacial del desempleo en Andalucía. En la última sección de resultados se identifican los puntos calientes (Hot Spots) de mayor incidencia en la construcción del indicador de autocorrelación espacial. Se concluye tras el examen de resultados en la necesidad de añadir el territorio entre las variables de análisis para el estudio sociológico del paro.The current paper examines the spatial, global and local autocorrelation of the Municipal Unemployment Rate in Andalusia. Applying the Geoda software, firstly, we carried out an exploratory exercise aimed at identifying the superior outliers of the indicator. Later, statistics of the Exploratory Spatial Data Analysis are implemented to determine the spatial dependence of unemployment in Andalusia. In the last section of results, the hot spots with the highest incidence in the construction of the spatial autocorrelation indicator are identified. After examining the results it’s concluded on the need to add the spatial context among the analysis variables for the sociological research of unemployment
Cartography · Context (archaeology · Economic growth · Economics · Geography · Humanities · Sociology · Spatial analysis · Unemployment · Unemployment rate · Demography · Regional Economic and Spatial Analysis · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis
The Biggest Myth in Spatial Econometrics
Properties of Tests for Spatial Dependence in Linear Regression Models
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Spatial Dimension of Unemployment
Spatial patterns of unemployment in Central Europe
Dos formas distintas de investigar el problema del paro en los albores de la encuesta social. El juicio público frente a la taxonomía
Spatial dependence in local unemployment rates
Thresholds for employment and unemployment
The accessibility to employment offices in the Spanish labour market
Geographical distribution of unemployment in Spain
Context, Location, and Space
The Socio-Spatial Dialectic
Tobler's First Law of Geography
Local Indicators of Spatial Association—Lisa
Mapping politics
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |