IDEAS home Printed from https://ideas.repec.org/a/vrs/eaiada/v23y2019i3p15-25n2.html
   My bibliography  Save this article

Analysis of Happiness in EU Countries Using the Multi-Model Classification based on Models of Symbolic Data

Author

Listed:
  • Pełka Marcin

    (Wrocław University of Economics, Wrocław, Poland)

Abstract

The results of happiness analysis are presented in the form of a World Happiness Report that covers 156 countries and 17 different indicators. In the article model-based clustering ensemble is built to determine what selected European countries have similar patterns of happiness. The results are analyzed using multidimensional scaling and a decision tree to find out what factors determine cluster memberships. In the empirical part, three clusters were detected The first contains countries: Austria, Denmark, Finland, Germany, Ireland, Luxembourg, the Netherlands, Norway, Sweden, Switzerland and the United Kingdom. They have the highest values for all the variables, except the negative affect. The second cluster contains seven countries: Bulgaria, Estonia, Hungary, Lithuania, Poland, Romania and Slovakia. This cluster is also the most homogeneous one. The third cluster contains eight countries: Cyprus, the Czech Republic, France, Greece, Italy, Portugal, Slovenia and Spain.

Suggested Citation

  • Pełka Marcin, 2019. "Analysis of Happiness in EU Countries Using the Multi-Model Classification based on Models of Symbolic Data," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(3), pages 15-25, September.
    • Handle: RePEc:vrs:eaiada:v:23:y:2019:i:3:p:15-25:n:2
    DOI: 10.15611/eada.2019.3.02
    as

    Download full text from publisher

    File URL: https://doi.org/10.15611/eada.2019.3.02
    Download Restriction: no
    File URL: https://libkey.io/10.15611/eada.2019.3.02?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Angus Deaton & Arthur A. Stone, 2013. "Two Happiness Puzzles," American Economic Review, American Economic Association, vol. 103(3), pages 591-597, May.
      • Arthur A. Stone & Angus Deaton, 2013. "Two happiness puzzles," Working Papers 2013-3, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    2. Graham, Carol, 2012. "Happiness Around the World: The paradox of happy peasants and miserable millionaires," OUP Catalogue, Oxford University Press, number 9780199606283.
    3. Carol Graham, 2005. "Insights on Development from the Economics of Happiness," The World Bank Research Observer, World Bank, vol. 20(2), pages 201-231.
    4. Lebret, Rémi & Iovleff, Serge & Langrognet, Florent & Biernacki, Christophe & Celeux, Gilles & Govaert, Gérard, 2015. "Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i06).
    5. Carol Graham, 2005. "The Economics of Happiness," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 6(3), pages 41-55, July.
    6. Jeffrey D. Sachs & Richard Layard & John F. Helliwell, 2018. "World Happiness Report 2018," Working Papers id:12761, eSocialSciences.
    7. Hornik, Kurt, 2005. "A CLUE for CLUster Ensembles," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i12).
    8. Groenen, P.J.F. & Winsberg, S. & Rodriguez, O. & Diday, E., 2006. "I-Scal: Multidimensional scaling of interval dissimilarities," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 360-378, November.
    9. Raftery, Adrian E. & Dean, Nema, 2006. "Variable Selection for Model-Based Clustering," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 168-178, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tofallis, Chris, 2020. "Which formula for national happiness?," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    2. John Ifcher & Homa Zarghamee & Carol Graham, 2019. "Income inequality and well-being in the U.S.: evidence of geographic-scale- and measure-dependence," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 415-434, September.
    3. Anna Barwińska Małajowicz & Miroslava Knapková & Krzysztof Szczotka & Miriam Martinkovičová & Radosław Pyrek, 2022. "Energy Efficiency Policies in Poland and Slovakia in the Context of Individual Well-Being," Energies, MDPI, vol. 16(1), pages 1-29, December.
    4. Zhang, Xin & Zhang, Xiaobo & Chen, Xi, 2017. "Happiness in the air: How does a dirty sky affect mental health and subjective well-being?," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 81-94.
    5. Rubén Arrondo & Ana Cárcaba & Eduardo González, 2021. "Drivers of Subjective Well-being in Spain: Are There Gender Differences?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(5), pages 2131-2154, October.
    6. Matthys, Marie-Luise & Acharya, Sushant & Khatri, Sanjaya, 2021. "“Before cardamom, we used to face hardship”: Analyzing agricultural commercialization effects in Nepal through a local concept of the Good Life," World Development, Elsevier, vol. 141(C).
    7. Christophe Biernacki & Alexandre Lourme, 2019. "Unifying data units and models in (co-)clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 7-31, March.
    8. Philippe Aghion & Ufuk Akcigit & Angus Deaton & Alexandra Roulet, 2016. "Creative Destruction and Subjective Well-Being," American Economic Review, American Economic Association, vol. 106(12), pages 3869-3897, December.
    9. Ifcher, John & Zarghamee, Homa & Graham, Carol, 2018. "Local neighbors as positives, regional neighbors as negatives: Competing channels in the relationship between others’ income, health, and happiness," Journal of Health Economics, Elsevier, vol. 57(C), pages 263-276.
    10. Mona Ahmadiani & Susana Ferreira & Jacqueline Kessler, 2022. "What Makes People Happy? Evidence from International Data," Journal of Happiness Studies, Springer, vol. 23(5), pages 2083-2111, June.
    11. Sujarwoto Sujarwoto, 2021. "Does Happiness Pays? A Longitudinal Family Life Survey," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(2), pages 679-701, April.
    12. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    13. Cosimato, Silvia & Faggini, Marisa & Prete, Marzia del, 2021. "The co-creation of value for pursuing a sustainable happiness: The analysis of an Italian prison community," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    14. Gilles Celeux & Cathy Maugis-Rabusseau & Mohammed Sedki, 2019. "Variable selection in model-based clustering and discriminant analysis with a regularization approach," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 259-278, March.
    15. Chenevier, Randall & Piper, Alan T. & Willis, Craig, 2021. "Migration, crime and life satisfaction in Chile: Pre and post-migration evidence," MPRA Paper 106502, University Library of Munich, Germany.
    16. Pełka Marcin, 2019. "Assessment of the Development of the European Oecd Countries with the Application of Linear Ordering and Ensemble Clustering of Symbolic Data," Folia Oeconomica Stetinensia, Sciendo, vol. 19(2), pages 117-133, December.
    17. Burger,Martijn & Hendriks,Martijn & Ianchovichina,Elena, 2022. "Anatomy of Brazil’s Subjective Well-Being : A Tale of Growing Discontent and Polarization in the 2010s," Policy Research Working Paper Series 9924, The World Bank.
    18. Panka Bencsik & Tuugi Chuluun, 2021. "Comparative well-being of the self-employed and paid employees in the USA," Small Business Economics, Springer, vol. 56(1), pages 355-384, January.
    19. Martijn Burger & Martijn Hendriks & Elena Ianchovichina, 2022. "Happy but Unequal: Differences in Subjective Well-Being across Individuals and Space in Colombia," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1343-1387, June.
    20. Kuriko OTSUKA & Keita OIKAWA, 2024. "Economics of Happiness and ASEAN's People-Centric Smart City," Working Papers DP-2024-22, Economic Research Institute for ASEAN and East Asia (ERIA).

    More about this item

    Keywords

    happiness; the European Union; symbolic data analysis; ensemble clustering;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:eaiada:v:23:y:2019:i:3:p:15-25:n:2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.