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A web survey analysis of subjective well-being

Author

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  • Martin Guzi
  • Pablo de Pedraza García

Abstract

Purpose - – The purpose of this paper is to explore the role of work conditions and job characteristics with respect to three subjective well-being (SWB) indicators: life satisfaction, job satisfaction and satisfaction with work-life balance. From a methodological point of view, the paper shows how social sciences can benefit from the use of voluntary web survey data. Design/methodology/approach - – The paper makes use of a large sample of individual data obtained from voluntary web surveys collected as part of the WageIndicator project. The sample includes extensive information on the quality of working conditions together with different well-being indicators. The propensity score adjustment weights are used to improve the sample performance. Findings - – The results shed light on the importance of certain job characteristics not only in determining job satisfaction, but also in other SWB domains. The findings support the theory of spillover perspectives, according to which satisfaction in one domain affects other domains. Research limitations/implications - – As a voluntary web-survey, WageIndicator is affected by selection bias. The validity of the sample can be improved by weighting, but this adjustment should be made and tested on a country-by-country basis. Originality/value - – The paper provides analysis of the quality of a web survey not commonly used in happiness research. The subsequent presentation of the effects of working conditions on several satisfaction domains represents a contribution to the literature.

Suggested Citation

  • Martin Guzi & Pablo de Pedraza García, 2015. "A web survey analysis of subjective well-being," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 48-67, April.
    • Handle: RePEc:eme:ijmpps:v:36:y:2015:i:1:p:48-67
    DOI: 10.1108/IJM-12-2014-0237
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    Citations

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    Cited by:

    1. Otrachshenko, Vladimir & Popova, Olga & Tavares, José, 2016. "Psychological costs of currency transition: evidence from the euro adoption," European Journal of Political Economy, Elsevier, vol. 45(C), pages 89-100.
    2. Panagiotis Trivellas & Georgios Malindretos & Panagiotis Reklitis, 2020. "Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    3. Stefano Visintin & Kea Tijdens & Maarten van Klaveren, 2015. "Skill mismatch among migrant workers: evidence from a large multi-country dataset," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    4. Djankov, Simeon & Nikolova, Elena & Zilinsky, Jan, 2016. "The happiness gap in Eastern Europe," Journal of Comparative Economics, Elsevier, vol. 44(1), pages 108-124.
    5. Brian Fabo & Miroslav Beblavý & Karolien Lenaerts, 2017. "The importance of foreign language skills in the labour markets of Central and Eastern Europe: assessment based on data from online job portals," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 487-508, August.
    6. Madhu S. Mohanty, 2018. "Does Positive Attitude Matter Only for Older Workers? Evidence from Simultaneous Estimation of Job Satisfaction, Wage and Positive Attitude in the United States," Journal of Happiness Studies, Springer, vol. 19(8), pages 2373-2404, December.
    7. Brian Fabo & Sharon Sarah Belli, 2017. "(Un)beliveable wages? An analysis of minimum wage policies in Europe from a living wage perspective," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-11, December.
    8. Magdalena Smyk & Joanna Tyrowicz & Lucas van der Velde, 2021. "A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator," Sociological Methods & Research, , vol. 50(1), pages 429-464, February.
    9. Pablo de Pedraza & Martin Guzi & Kea Tijdens, 2020. "Life Dissatisfaction and Anxiety in COVID-19 pandemic," MUNI ECON Working Papers 2020-03, Masaryk University, revised Feb 2023.
    10. Pablo de Pedraza & Martin Guzi & Kea Tijdens, 2020. "Life satisfaction of employees, labour market tightness and matching efficiency," International Journal of Manpower, Emerald Group Publishing Limited, vol. 42(3), pages 341-355, July.
    11. Vilma Deltuvaitė & Svatopluk Kapounek & Petr Koráb, 2019. "Impact of Behavioural Attention on the Households Foreign Currency Savings as a Response to the External Macroeconomic Shocks," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(2), pages 155-177.
    12. Lucia Kureková & Miroslav Beblavý & Anna Thum-Thysen, 2015. "Using online vacancies and web surveys to analyse the labour market: a methodological inquiry," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
    13. repec:prg:jnlpep:v:preprint:id:690:p:1-23 is not listed on IDEAS
    14. Sirovátka, Tomáš & Guzi, Martin & Saxonberg, Steven, 2019. "Satisfaction with democracy and perceived performance of the welfare state in Europe," MPRA Paper 97691, University Library of Munich, Germany.
    15. María Navarro & Wiemer Salverda, 2019. "Earner Position and Job and Life Satisfaction: Do Contributions to the Household Income have the Same Effect by Gender and Occupations?," Journal of Happiness Studies, Springer, vol. 20(7), pages 2227-2250, October.

    More about this item

    Keywords

    Working conditions; Subjective well-being; Quality of work; Web-surveys; J28; J81;
    All these keywords.

    JEL classification:

    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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