IDEAS home Printed from https://ideas.repec.org/a/rse/wpaper/v5y2013i1p92-99.html
   My bibliography  Save this article

Indicators of quality of work as predictors of quality of life

Author

Listed:
  • Alina Mariuca Ionescu

    (Alexandru Ioan Cuza University of Iasi)

Abstract

The paper aims to analyze the extent to which the indicators of the quality of work can be seen as good predictors of the quality of life. To describe the various aspects of the quality of work and employment, data on answers to 12 questions covering 7 dimensions of quality of work were extracted from the European Working Conditions Survey (EWCS) database available on Eurofound website. Four wellknown composite indicators were considered for the assessment of the quality of life: Economist Intelligence Unit (EIU) Quality of Life Index, Satisfaction With Life Scale (SWLS), OECD Life Satisfaction indicator and Human Development Index (HDI). A series of multiple linear regressions were run in order to select the most relevant predictors of quality of life indicators. Results show that the percentage of those who are 'very satisfied or satisfied with working conditions in their main paid job' is the main predictor both of EIU Quality of Life Index (R square = 0.429), of HDI 2005 (R square = 0.619) and of SWLS (R square = 0.61). Percentage of those who agree that their 'job offers them good prospects for career advancement' explains 68.4 percent of the total variance in OECD Life Satisfaction indicator, while together with 'working hours - family/ social commitments outside work fit' and proportion of those 'usually working less than 30 hours per week in their main paid job' account for 79.5 percent of the total variance in the predicted variable. HDI 2010 values are the best predicted by the percentage of those who 'agree that they might lose their job in the next 6 months' (R square = 0.624).

Suggested Citation

  • Alina Mariuca Ionescu, 2013. "Indicators of quality of work as predictors of quality of life," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 5(1), pages 92-99, June.
    • Handle: RePEc:rse:wpaper:v:5:y:2013:i:1:p:92-99
    as

    Download full text from publisher

    File URL: http://reaser.eu/RePec/rse/wpaper/R5_10_Ionescu_Alina_p92_99.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lerner, D.J. & Levine, S. & Malspeis, S. & D'Agostino, R.B., 1994. "Job strain and health-related quality of life in a national sample," American Journal of Public Health, American Public Health Association, vol. 84(10), pages 1580-1585.
    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. Robert Giacalone & Mark Promislo, 2010. "Unethical and Unwell: Decrements in Well-Being and Unethical Activity at Work," Journal of Business Ethics, Springer, vol. 91(2), pages 275-297, January.
    2. JM Ford & DL Kaserman, 2000. "Suicide as an indicator of quality of life: evidence from dialysis patients," Contemporary Economic Policy, Western Economic Association International, vol. 18(4), pages 440-448, October.
    3. Cheng, Yawen & Chen, Chun-Wan & Chen, Chiou-Jong & Chiang, Tung-liang, 2005. "Job insecurity and its association with health among employees in the Taiwanese general population," Social Science & Medicine, Elsevier, vol. 61(1), pages 41-52, July.
    4. Koryu Sato & Haruko Noguchi, 2023. "Impact of Retirement on Health: Evidence from 35 Countries," Working Papers 2301, Waseda University, Faculty of Political Science and Economics.
    5. Li, Jian & Yang, Wenjie & Cho, Sung-il, 2006. "Gender differences in job strain, effort-reward imbalance, and health functioning among Chinese physicians," Social Science & Medicine, Elsevier, vol. 62(5), pages 1066-1077, March.

    More about this item

    Keywords

    quality of work; quality of life; quality of life indicators; quality of life predictors;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

    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:rse:wpaper:v:5:y:2013:i:1:p:92-99. 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: Manuela Epure (email available below). General contact details of provider: https://edirc.repec.org/data/pgsaaea.html .

    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.