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Reports generation methodology on public
solutions in housing matters
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Title: Reports generation methodology on public
solutions in housing matters |
Authors: Bonet Jaén, H. Pérez-Martín, A. Polotskaya, Kristina Rabasa, Alejandro |
Editor: Taylor and Francis Group |
Department: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Issue Date: 2024-05 |
URI: https://hdl.handle.net/11000/34495 |
Abstract:
ABSTRACT
In this article, the authors aim to show an example of the use of
a DSS (Decision Support System) as a governmental tool to provide
a comprehensive and dynamic overview of the challenges and
opportunities in the field of social housing, and to support informed
and compassionate decision-making. This paper introduces a Key
Performance Indicator (KPI) to analyse populations with high housing
expenditures as a strategic tool for public policy making by
identifying vulnerable populations, evaluating the effectiveness of
current policies, and designing specific interventions. The KPI is
calculated using data from the National Institute of Statistics (INE)
Household Living Conditions Survey for each of the autonomous
administrative divisions in Spain.
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Keywords/Subjects: Decision support system Household living conditions public policy making |
Knowledge area: CDU: Ciencias puras y naturales: Generalidades sobre las ciencias puras |
Type of document: info:eu-repo/semantics/article |
Access rights: info:eu-repo/semantics/closedAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI: https://doi.org/10.1080/12460125.2024.2359151 |
Appears in Collections: Artículos Estadística, Matemáticas e Informática
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