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The determinants of training participation in Singapore

Author

Listed:
  • Shandre Thangavelu
  • Liu Haoming
  • Park Cheolsung
  • Ang Boon Heng
  • James Wong

Abstract

This article uses the Singapore Labour Force survey data to examine the determinants of workers' participation in training programmes in Singapore. The results show that different socio-demographic and employment related characteristics affect the training participation of workers. Well-educated and better paid workers are much more likely to participate in training programmes than others. Age has a positive impact on training participation for younger workers (under 37 years), but a negative effect on older workers' participation. The results also indicate that occupational affiliations have a significant impact on training participation. We also find that married workers seem to be less likely to participate in training programmes, but the difference between married and single is only significant at the 10% level. Finally, gender does not have any significant effect at any conventional level although the coefficient on the female dummy is positive, suggesting females might be slightly more likely to participate in training programmes.

Suggested Citation

  • Shandre Thangavelu & Liu Haoming & Park Cheolsung & Ang Boon Heng & James Wong, 2011. "The determinants of training participation in Singapore," Applied Economics, Taylor & Francis Journals, vol. 43(29), pages 4641-4649.
  • Handle: RePEc:taf:applec:v:43:y:2011:i:29:p:4641-4649
    DOI: 10.1080/00036846.2010.493140
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    References listed on IDEAS

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    2. Foster, Andrew D & Rosenzweig, Mark R, 1996. "Technical Change and Human-Capital Returns and Investments: Evidence from the Green Revolution," American Economic Review, American Economic Association, vol. 86(4), pages 931-953, September.
    3. Jacob Mincer, 1989. "Job Training: Costs, Returns, and Wage Profiles," NBER Working Papers 3208, National Bureau of Economic Research, Inc.
    4. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
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    Cited by:

    1. Tat Hui, Weng & Toh, Ruby., 2014. "Growth with equity in Singapore : challenges and prospects," ILO Working Papers 994850173402676, International Labour Organization.
    2. Singh, Prakarsh & Masters, William A., 2016. "Behavior Change for Early Childhood Nutrition: Effectiveness of Health Worker Training Depends on Maternal Information in a Randomized Control Trial," IZA Discussion Papers 10375, Institute of Labor Economics (IZA).
    3. Jorge Calero & Josep-Oriol Escardíbul, 2014. "Barriers to non-formal professional training in Spain in periods of economic growth and crisis. An analysis with special attention to the effect of the previous human capital of workers," Working Papers 2014/12, Institut d'Economia de Barcelona (IEB).
    4. Jorge Calero & Josep-Oriol Escardíbul, 2014. "Barriers to non-formal professional training in Spain in periods of economic growth and crisis. An analysis with special attention to the effect of the previous human capital of workers," Working Papers 2014/12, Institut d'Economia de Barcelona (IEB).
    5. Hidalgo, Diana & Oosterbeek, Hessel & Webbink, Dinand, 2014. "The impact of training vouchers on low-skilled workers," Labour Economics, Elsevier, vol. 31(C), pages 117-128.
    6. Gockel, Ryan P. & Cullen, Alison C., 2013. "Willing, but Unable: Determinants of Participation Rates for TrainingWorkshops in Central Vietnam," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 3(10), pages 1-15, October.
    7. repec:ilo:ilowps:485017 is not listed on IDEAS

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