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Wage Concentration in Spain: A Spatial Analysis

  • Larraz B
  • Navarrete M
  • Pavía J
InTech, (2016)
DOI: 10.5772/64441
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Abstract

In this article, the degree of concentration of wages in Spain at the provincial and regional levels is estimated using the latest available micro-data corresponding to the Structure of Earnings Survey 2010 (N = 216.769). From the analysis of the statistics obtained, it is possible to know in detail the spatial distribution of national wage inequality, to identify those areas where inequality is greatest, and to estimate the possible existence of spatial dependence and structure. The analysis focuses not only on the study of global inequality, but delves into the question by extending the analysis from a gender perspective.

Figures

  • Figure 1. Map of Spain at the provincial level [8]. Source: own elaboration.
  • Figure 2. Map of Spain at regional level [8]. Source: own elaboration.
  • Table 1. Descriptive statistics of wage distribution by gender in Spain.
  • Table 2. Inequality indicators of wage distribution in Spain.
  • Table 3. Percentiles by gender (€/year) in Spain.
  • Figure 3. Map of Spain for the concentration index of the entire population (a), gender (b), the group of women (c) and the group of men (d) at regional scale (NUTS2), calculated from the annual gross salary received by each worker. Source: own elaboration.
  • Figure 4. Map of Spain at a regional scale (NUTS2) for the concentration index of the entire population (a), gender (b), the group of women (c) and the group of men (d), calculated from the hourly wage earned by each worker. Source: own elaboration.
  • Figure 5. Map of Spain at a provincial level (NUTS3) for the concentration index of the entire population (a), gender (b), the group of women (c) and the group of men (d), calculated from the annual salary received by each worker. Source: own elaboration.

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CITATION STYLE

APA

Larraz, B., Navarrete, M., & Pavía, J. M. (2016). Wage Concentration in Spain: A Spatial Analysis. In Applications of Spatial Statistics. InTech. https://doi.org/10.5772/64441

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