Education and Skill Mismatches in Maptaphut Industrial Estate, Thailand
DOI:
https://doi.org/10.6000/1929-7092.2017.06.22Keywords:
Over-education, Under-education, Skill Mismatches, Specific Training, Earnings, Maptaphut Industrial EstateAbstract
This paper examines educational and skill mismatches by using primary data from Maptaphut Industrial Estate, Rayong Province, Thailand, conducted from 226 respondents. Ordinary least squares (OLS) and unconditional quantile (UQR) regressions are used to examine the mismatches on earnings. The empirical findings are as follows: (1) returns to education of high income workers are larger than average income workers; (2) education mismatches affect earnings, such that over-education is statistically significant, whereas under-education is not significant, for both the OLS and UQR estimates; (3) UQR provides more information on size of the over-education to the returns on schooling; (4) specific training for some job positions also indicates educational and skill mismatches; and (5) firms should invest in training for workers to reduce weaknesses in educational mismatches.References
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Schmidt, D., and Tiemann, M., 2016, Educational (mis)match and skill utilization in Germany: Assessing the role of worker and job characteristics, Journal for Labour Market Research, 49 (2), 99-119.
https://doi.org/10.1007/s12651-016-0198-9
Duncan, G., and Hoffman, S., 1981, The incidence and wage effects of overeducation, Economics of Education Review, 1(1), 75-86.
https://doi.org/10.1016/0272-7757(81)90028-5
Firpo, S., Fortin, N.M., and Lemieux, T., 2009, Unconditional quantile regressions, Econometrica, 77 (3), 953-973.
https://doi.org/10.3982/ECTA6822
Greene, W., 2008, Econometric Analysis, 6th ed., Prentice Hall, NJ.
Hanushek, E. A., and Woessmann, L., 2015, The Knowledge Capital of Nations: Education and the Economics of Growth, MIT Press, MA.
https://doi.org/10.7551/mitpress/9780262029179.001.0001
Hartog, J., 2000, Over-education and earnings: Where are we, where should we go?, Economics of Education Review, 19, 131-147.
https://doi.org/10.1016/S0272-7757(99)00050-3
Hartog, J., and Sattinger, M., 2013, Nash bargaining and the wage consequences of educational mismatches, Labour Economics, 23, 50-60.
https://doi.org/10.1016/j.labeco.2013.03.002
Iriondo, I., and Amaral, T., 2016, The effect of educational mismatch on wages in Europe, Journal of Policy Modeling, 38 (2), 304-323.
https://doi.org/10.1016/j.jpolmod.2015.12.008
Kim, H., and Park, S., 2016, Do skill mismatches create a wage penalty? Alternative estimates for Korea, Asian Economic Journal, 30(3), 295–316.
https://doi.org/10.1111/asej.12093
Kucel, A., Molina, I., and Raya, J., 2016, Over-education and its opportunity cost in Japan, Asia Pacific Education Review, 17(2), 299–312.
https://doi.org/10.1007/s12564-016-9427-8
Lee, H., and Lee, J., 2016, Eunbi Song effects of educational mistmatch on wages in the Korean Labor Market, Asian Economic Journal, 30(4), 375–400.
https://doi.org/10.1111/asej.12105
Mincer, J., 1974, Schooling, Experience, and Earnings. New York: National Bureau of Economic Research, USA.
Perry, A., Wiederhold, S., and Piek, D., 2014, How can skill mismatch be measured?, New approaches with PIAAC, Methods, Data, Analyses, 8(2), 137-174.
Schmidt, D., and Tiemann, M., 2016, Educational (mis)match and skill utilization in Germany: Assessing the role of worker and job characteristics, Journal for Labour Market Research, 49 (2), 99-119.
https://doi.org/10.1007/s12651-016-0198-9
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Published
2017-06-09
How to Cite
Varakamin, D. (2017). Education and Skill Mismatches in Maptaphut Industrial Estate, Thailand. Journal of Reviews on Global Economics, 6, 233–238. https://doi.org/10.6000/1929-7092.2017.06.22
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Special Issue - Recent Topical Research on Global, Energy, Health & Medical, and Tourism Economics, and Global Software
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