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Evaluation of age-related labels by senior citizens

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  • Bert Weijters

    ()

  • Maggie Geuens

    () (Vlerick Leuven Gent Management School)

Abstract

The age-related labels 50+, seniorand retired are evaluated by a 45+ sample. Results show the appreciation of the terms increases upon entering the 50+ / senior / retirement group and keeps on increasing with age once the treshold age is crossed. The findings that label evaluations are generally positive and that 65 years is the mode of indicated treshold age for senior citizenship lead to an alternative interpretation of previous research (Tepper, 1994): people under 65 might consider being labeled senior undesirable because it is deviant from normality rather than because of the negativity of the label as such.

Suggested Citation

  • Bert Weijters & Maggie Geuens, 2002. "Evaluation of age-related labels by senior citizens," Vlerick Leuven Gent Management School Working Paper Series 2002-22, Vlerick Leuven Gent Management School.
  • Handle: RePEc:vlg:vlgwps:2002-22
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    Cited by:

    1. W. Bruggeman & P. Everaert & S. R. Anderson & Y. Levant, 2005. "Modeling Logistics Costs using Time-Driven ABC: A Case in a Distribution Company," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/332, Ghent University, Faculty of Economics and Business Administration.
    2. Dagmar Lesakova, 2013. "Silver Consumers And Their Shopping Specifics," Oeconomia Copernicana, Institute of Economic Research, vol. 4(4), pages 103-114, December.
    3. P. Windels & J. Christiaens, 2005. "Management Reform in Flemish Local Authorities: Testing the Institutional Framework," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/331, Ghent University, Faculty of Economics and Business Administration.
    4. Květa Olšanová, 2012. "Understanding Seniors in the Context of an Aging European Population as a Modifier for Further Brand Management: Case of the Czech Republic," Central European Business Review, University of Economics, Prague, vol. 2012(3), pages 37-45.
    5. Maarten Dossche & Gerdie Everaert, 2005. "Measuring Inflation Persistence: A Structural Time Series Approach," Computing in Economics and Finance 2005 459, Society for Computational Economics.
    6. M. Vanhoucke & B. Maenhout, 2005. "Characterisation and Generation of Nurse Scheduling Problem Instances," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/339, Ghent University, Faculty of Economics and Business Administration.
    7. Jan Lepoutre & Nikolay Dentchev & Aimé Heene, 2007. "Dealing With Uncertainties When Governing CSR Policies," Journal of Business Ethics, Springer, vol. 73(4), pages 391-408, July.
    8. H. Ooghe & C. Spaenjers & P. Vandermoere, 2005. "Business failure prediction: simple-intuitive models versus statistical models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/338, Ghent University, Faculty of Economics and Business Administration.
    9. A. Karas & K. Schoors, 2005. "Heracles or Sisyphus? Finding, cleaning and reconstructing a database of Russian banks," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/327, Ghent University, Faculty of Economics and Business Administration.
    10. N. Geeroms & P. Van Kenhove & W. Verbeke, 2005. "Health Advertising to promote Fruit and Vegetable Intake: Application of need-related Health Audience Segmentation," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/336, Ghent University, Faculty of Economics and Business Administration.
    11. B. Maenhout & M. Vanhoucke, 2005. "New Computational Results for the Nurse Scheduling Problem: A Scatter Search Algorithm," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/341, Ghent University, Faculty of Economics and Business Administration.
    12. Robert Zniva & Wolfgang Weitzl, 2016. "It’s not how old you are but how you are old: A review on aging and consumer behavior," Management Review Quarterly, Springer;Vienna University of Economics and Business, vol. 66(4), pages 267-297, December.
    13. J. Albrecht & M. Neyt & T. Verbeke, 2005. "Bureaucratisation and the growth of health care expenditures in Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/335, Ghent University, Faculty of Economics and Business Administration.
    14. L. Pozzi, 2005. "Income Uncertainty and Aggregate Consumption," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/334, Ghent University, Faculty of Economics and Business Administration.
    15. W. Buckinx & D. Van Den Poel, 2005. "Assessing and exploiting the profit function by modeling the net impact of targeted marketing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/330, Ghent University, Faculty of Economics and Business Administration.
    16. E. Labro & M. Vanhoucke, 2005. "A simulation analysis of interactions between errors in costing system design," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/333, Ghent University, Faculty of Economics and Business Administration.

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    Keywords

    senior; 50+; age labels; marketing communications;

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