Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia?
Bjegovic-Mikanovic V, Wenzel H, Laaser U (2022)
Frontiers in Public Health 10: 873845.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
Download

Autor*in
Bjegovic-Mikanovic, Vesna;
Wenzel, Helmut;
Laaser, Ulrich
Abstract / Bemerkung
Background: Women's happiness and life satisfaction, often summarized as subjective wellbeing, are of great value for most individuals and are associated with various determinants. The countries of the Western Balkan are of particular interest after the political changes in the nineties. Are the women satisfied with their lives today?
Methods: We use the most recent datasets of the Multiple Indicator Cluster Surveys (MICS) for women 15-49 years old and with comparable data coverage for three countries of the Western Balkan belonging to the former Yugoslavia, namely Montenegro, North Macedonia, and Serbia. After sorting out variables of limited relevance or quality (missing values >50%), the remaining 32 variables followed a descriptive analysis. Four potential determinants of subjective wellbeing (SWB), an integration of happiness and satisfaction with life, entered an interactive Classification and Regression Tree (iC&RT) to account for their mostly bivariate format: age, education, region, and wealth.
Results:The iC&RT analysis determines the influence of 4 independent variables (age, education, region, and wealth) on overall happiness, satisfaction with life, and subjective wellbeing, resulting in a high overall SWB of 88.9% for Montenegro, 82.1% for North Macedonia, and 83% for Serbia. The high relevance of younger age, higher education, and wealth, as critical determinants of a high SWB, and the lesser role of regions except for Serbia is confirmed. The spread of SWB in defined population subgroups ranges from 80.5-92.6% for Montenegro, 64.2-86.8% for North Macedonia, and 75.8-87.4% for Serbia.
Conclusions: The three selected South-Eastern European countries of the former Yugoslavia (Montenegro, North Macedonia, Serbia) represent high levels of subjective wellbeing of women and a narrow range between the lowest and highest population groups. Women in Montenegro take a top position regarding their subjective wellbeing.
Methods: We use the most recent datasets of the Multiple Indicator Cluster Surveys (MICS) for women 15-49 years old and with comparable data coverage for three countries of the Western Balkan belonging to the former Yugoslavia, namely Montenegro, North Macedonia, and Serbia. After sorting out variables of limited relevance or quality (missing values >50%), the remaining 32 variables followed a descriptive analysis. Four potential determinants of subjective wellbeing (SWB), an integration of happiness and satisfaction with life, entered an interactive Classification and Regression Tree (iC&RT) to account for their mostly bivariate format: age, education, region, and wealth.
Results:The iC&RT analysis determines the influence of 4 independent variables (age, education, region, and wealth) on overall happiness, satisfaction with life, and subjective wellbeing, resulting in a high overall SWB of 88.9% for Montenegro, 82.1% for North Macedonia, and 83% for Serbia. The high relevance of younger age, higher education, and wealth, as critical determinants of a high SWB, and the lesser role of regions except for Serbia is confirmed. The spread of SWB in defined population subgroups ranges from 80.5-92.6% for Montenegro, 64.2-86.8% for North Macedonia, and 75.8-87.4% for Serbia.
Conclusions: The three selected South-Eastern European countries of the former Yugoslavia (Montenegro, North Macedonia, Serbia) represent high levels of subjective wellbeing of women and a narrow range between the lowest and highest population groups. Women in Montenegro take a top position regarding their subjective wellbeing.
Stichworte
happiness;
life satisfaction;
subjective wellbeing;
MICS;
Montenegro;
North Macedonia;
Serbia;
women
Erscheinungsjahr
2022
Zeitschriftentitel
Frontiers in Public Health
Band
10
Art.-Nr.
873845
Urheberrecht / Lizenzen
eISSN
2296-2565
Page URI
https://pub.uni-bielefeld.de/record/2964046
Zitieren
Bjegovic-Mikanovic V, Wenzel H, Laaser U. Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? Frontiers in Public Health . 2022;10: 873845.
Bjegovic-Mikanovic, V., Wenzel, H., & Laaser, U. (2022). Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? Frontiers in Public Health , 10, 873845. https://doi.org/10.3389/fpubh.2022.873845
Bjegovic-Mikanovic, Vesna, Wenzel, Helmut, and Laaser, Ulrich. 2022. “Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia?”. Frontiers in Public Health 10: 873845.
Bjegovic-Mikanovic, V., Wenzel, H., and Laaser, U. (2022). Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? Frontiers in Public Health 10:873845.
Bjegovic-Mikanovic, V., Wenzel, H., & Laaser, U., 2022. Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? Frontiers in Public Health , 10: 873845.
V. Bjegovic-Mikanovic, H. Wenzel, and U. Laaser, “Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia?”, Frontiers in Public Health , vol. 10, 2022, : 873845.
Bjegovic-Mikanovic, V., Wenzel, H., Laaser, U.: Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia? Frontiers in Public Health . 10, : 873845 (2022).
Bjegovic-Mikanovic, Vesna, Wenzel, Helmut, and Laaser, Ulrich. “Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia?”. Frontiers in Public Health 10 (2022): 873845.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Name
fpubh-10-873845.pdf
297.76 KB
Access Level

Zuletzt Hochgeladen
2022-07-06T13:31:42Z
MD5 Prüfsumme
a1567c5262821d232b201eb5af63ef18
Daten bereitgestellt von European Bioinformatics Institute (EBI)
Zitationen in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
References
Daten bereitgestellt von Europe PubMed Central.
Export
Markieren/ Markierung löschen
Markierte Publikationen
Web of Science
Dieser Datensatz im Web of Science®Quellen
PMID: 35719609
PubMed | Europe PMC
Suchen in