PropertyValue
?:abstract
  • Purpose: The aim of the research is to examine the correlation between economic development in the macroeconomic scale and the development of the real estate market. Design/Methodology/Approach: The tool of the applied computational engineering is cluster analysis, the hierarchical method based on Euclidean distance and Ward’s method (algorithm). Findings: The research process carried out confirmed the existence of a dependence between macroeconomic determinants and parameters of the real estate market. A division into three homogeneous groups of countries, whose development shows signs of similarity, was obtained. This allows making comparisons between individual countries, neglecting their geographical and historical dependences. Practical Implications: The utilitarian usability of applying computational tools used in economic analyses was proved. Originality/Value: Individual clusters make a certain reference point for particular countries. The obtained results offer the possibility of applying a suitable strategy which provides bases for development and also the possibility of verifying its effects against a whole group. (xsd:string)
?:author
?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2020 (xsd:gyear)
?:datePublished
  • 2020 (xsd:gyear)
?:doi
  • 10.35808/ersj/1784 ()
?:duplicate
?:fromPage
  • 660 (xsd:string)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
?:isPartOf
?:issueNumber
  • 1 (xsd:string)
is ?:mainEntity of
?:name
  • Correlation of Economic Development of Countries with the Potential of their Housing Real Estate Markets: A Case Study in the European Union (xsd:string)
?:publicationType
  • article (xsd:string)
?:reference
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In European Research Studies Journal, 23(1), 660-678, 2020 (xsd:string)
?:studyGroup
  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
?:tags
  • 2020 (xsd:string)
  • FDZ_GML (xsd:string)
  • SCOPUSindexed (xsd:string)
  • SILC (xsd:string)
  • SILC_input2021 (xsd:string)
  • SILC_pro (xsd:string)
  • article (xsd:string)
  • datfeld (xsd:string)
  • english (xsd:string)
  • indexproved (xsd:string)
  • jak (xsd:string)
  • transfer21 (xsd:string)
?:toPage
  • 678 (xsd:string)
rdf:type
?:url
?:volumeNumber
  • 23 (xsd:string)