Economics at your fingertips  

Significant Indicators and Determinants of Happiness: Evidence from a UK Survey and Revealed by a Data-Driven Systems Modelling Approach

Yuanlin Gu () and Hua-Liang Wei ()
Additional contact information
Yuanlin Gu: Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, UK
Hua-Liang Wei: Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, UK

Social Sciences, 2018, vol. 7, issue 4, 1-12

Abstract: This study aims to establish a quantitative relationship between lifestyle and happiness in the UK based on over 10,000 surveyed samples with 63 lifestyle variables from the UK Understanding Society Data. Transparent parametric models are built and a number of significant explanatory variables (lifestyle indicators) have been identified using a systems engineering modelling approach. Specifically; based on the traditional orthogonal forward regression (OFR) algorithm; the study introduces a new metrics; with which the impacts of lifestyle variables (and/or their interactions) can be quantitatively measured and identified one by one. These identified significant indicators provide a meaningful parsimonious representation of the relationship between happiness and lifestyle; revealing how happiness quantitatively depends on lifestyle; and how the lifestyle variables interactively affect happiness. For example; the quantitative results of a linear model indicate that lifestyle variables such as ‘health’; ‘income’; and ‘retirement’; impacts happiness significantly. Furthermore; the results of a bilinear model show that some interaction variables such as ‘retired’ together with ‘elder’; ‘fair health’ together with ‘low-income’ and so on; are significantly related to happiness.

Keywords: happiness; lifestyle; life satisfaction; nonlinear system; data-driven modelling; systems engineering (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf) (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Social Sciences is currently edited by Prof. Dr. Martin J. Bull

More articles in Social Sciences from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().

Page updated 2020-06-02
Handle: RePEc:gam:jscscx:v:7:y:2018:i:4:p:53-:d:138718