First results in modelling objective well-being in Hungary at lower territorial level
Gábor Nagy and
MPRA Paper from University Library of Munich, Germany
Developing complex indicators measuring economic output, added value and indicators relying on an entirely different basis, researchers worked on the assumption that economic output does not correlate strongly with people’s happiness or quality of life. Most measurements relate to countries and federal states. Only a few seek to present or model differences at lower territorial levels. This study discloses the first results of pilot calculations that have been performed as part of Hungary’s Social Renewal Programme. These explore differences at the level of Hungarian districts (LAU1) with the proviso, that the spatial structure presented only reflects what is called objective well-being. A more comprehensive picture can be obtained only if the subjective well-being dimensions incorporating and weighted by the results of a large-scale sample survey, conducted in the meantime, are also taken into account.
Keywords: well-being; spatial structure; model-calculation; weighting process; districts (search for similar items in EconPapers)
JEL-codes: R1 R11 R12 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-hap
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Published in Regional Statistics 2.4(2015): pp. 71-86
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/73959/1/MPRA_paper_73959.pdf original version (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:73959
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().