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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.
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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