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Social Indicators Research

Erschienen in:

03.01.2018

Labor Mismatches: Effects on Wages and on Job Satisfaction in 17 OECD Countries

verfasst von: Lucía Mateos-Romero, María del Mar Salinas-Jiménez

Erschienen in: Social Indicators Research | Ausgabe 1/2018

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Abstract

This study analyzes the effects of labor mismatches on wages and on job satisfaction in seventeen OECD countries by distinguishing between educational mismatch and skills mismatch. Using data from PIAAC, the results suggest that whereas educational mismatch shows greater effects on wages, the effects of labor mismatch on job satisfaction are generally better explained by skills mismatches. Both phenomena appear to be relevant for understanding the economic effects of labor mismatch and suggest that educational mismatch is not an accurate proxy for skills mismatch, mainly when the non-monetary effects of labor mismatch are addressed.

Vorheriger Artikel The Standard of Living of the Workers in a Spanish Industrial Town: Wages, Nutrition, Life Expentancy and Heigth in Alcoy (1870–1930)

Nächster Artikel The Taste for Corporate Responsibility: Heterogeneity and Consensus Around CR Indicators

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Although the interest of this study focuses on developed countries, the relevance of educational investments is at a crucial juncture in developing countries. Interested readers on some of the key problems faced by developing countries as regards education and labor policies can see the works by Muysken and Nour (2006), Boccanfuso et al. (2015) or Kruss et al (2015), focused on the quality of education and skills formation, or the works by Amin (2009), Fakih and Ghazalian (2015), or Brixiova and Égert (2017), with a greater focus on labor market constraints, labor regulations and institutions.

Previous OECD programs to assess the skills of the adult population were IALS (1994–1998) and ALLS (2003–2006). The PIAAC survey started in 2013 and continues nowadays, thus providing the most recent data in the assessment of the skills of the adult population in OECD countries.

The Jackknife procedure allows to take account of weights included in the PIAAC database for each individual in the sample and its 80 replications when standard errors are estimated. See OECD (2013) for a detailed description of this procedure.

Hoogerheide et al. (2012) show that “using the father’s education as an instrument in an income regression is a viable option for solving the endogeneity problem with regard to education”.

All technical information and access to the PIAAC database can be found in http://www.oecd.org/skills/piaac/publicdataandanalysis/. Data from Germany come from Rammstedt et al. (2015).

The empirical analysis is run for the pool of countries and then grouping these countries in more homogeneous blocs: Nordic (Denmark, Finland and Norway), Mediterranean (Italy and Spain), Continental (Belgium, France, Germany and Netherlands), Eastern (Czech Republic, Estonia, Poland, Slovak Republic), English-speaking (Ireland and United Kingdom) and Asian (Japan and Korea) blocs.

The use of a dichotomous variable is a very common procedure followed in the literature on job satisfaction (see, for example, Allen and van der Velden (2001) or Mavromaras et al. (2013)). However, one could alternatively take account of all categories of job satisfaction and run an ordered probit. This alternative has also been followed and the obtained estimates are presented in the “Appendix” section as a robustness check.

A detailed discussion of the advantages and disadvantages of each method can be found in Hartog (2000), who concludes that the use of one or another estimation method does not affect the empirical results, so the choice of the method will depend on available information.

With some differences in magnitude, the results for the pool of countries hold for all country blocs being considered. The distributions of educational and skill mismatches for the different blocs of countries are presented in “Appendix” section (Table 7).

Estimates were also run with literacy scores, obtaining quantitatively and qualitatively similar results (estimations are available upon request). In any case, all 10 plausible values are included to run the estimates.

Estimates for educational and skills mismatch have also been run separately for the different blocs of countries. Nevertheless, since the pattern found for the different blocs is similar to that of the pool of countries, for the sake of space, we only present the estimates for the relevant variables when both types of mismatch are jointly considered. All complete estimates are available upon request.

As shown by Halvorsen and Palmquist (1980), the interpretation of estimated coefficients for dummy variables in semilogarithmic equations is given by exp(coefficient)-1. We thank an anonymous referee for pointing out this question.

The coefficients of the numeracy skill are hardly to interpret in a direct way. However, since we are estimating a semi-logarithmic model, the elasticity on the average can easily be calculated by multiplying the estimated coefficient by the mean value of the variable.

Since the estimates for these control variables are as expected according to previous literature, and consistent when skills mismatch is considered, we will not extend on these results hereafter.

Talking about labor market flexibility (or rigidity) encompasses different labor market outcomes (e.g. labor adjustment, wages, mobility, labor costs, or unemployment, among others). However, in terms of wage adjustments, the Nordic countries seem to show greater rigidities (Andersen et al. 2014), as so do Asian (Hwang 2006) and Mediterranean countries (Chenic 2013), whereas Central and Eastern European countries (Svejnar 2002) and the Anglo-Saxon model (Aceleanu 2012) show greater wage flexibility.

Complete estimates from the probit model are presented in “Appendix” section (Table 8). In addition, the “Appendix” section (Table 9) also offers the estimates of the ordered probit as a check of robustness for the pool of countries. All these estimates are also available for the different blocs of countries upon request.

We do not extend here in the comment of other control variables since the results are as expected according to previous literature, with a positive and significant effect on the probability of being satisfied for those earning higher wages, those enjoying better health, females, employees with greater experience and those working in the public sector and doing supervisory tasks.

In fact, several studies suggest that workers in East European and Asian countries attach greater importance to external aspects of the job instead of looking at intrinsic job characteristics (Huang and Van de Vliert 2003; Borooah 2009). For a deeper insight on the cultural and socio-economic characteristics explaining cross-national differences in job satisfaction, see for example Sousa-Poza and Sousa-Poza (2000) or Lok and Crawford (2004).

Aceleanu, M. I. (2012). The Anglo-Saxon model of employment in the current economic context. The case of United Kingdom. Theoretical and Applied Economics, 11(576), 45–58.

Allen, J., & Van der Velden, R. (2001). Educational mismatches versus skill mismatches: Effects on wages, job satisfaction and on-the-job search. Oxford Economic Papers, 53(3), 434–452.CrossRef

Amin, M. (2009). Labor regulation and employment in India’s retail stores. Journal of Comparative Economics, 37(1), 47–61.CrossRef

Andersen, S. K., Dølvik, J. E., & Ibsen, C. L. (2014). Nordic labour market models in open markets. Brussels: ETUI.

Artés, J., Salinas-Jiménez, M. M., & Salinas-Jiménez, J. (2014). Small fish in a big pond or big fish in a small pond? The effects of educational mismatch on subjective wellbeing. Social Indicators Research, 119(2), 771–789.CrossRef

Badillo-Amador, L., & Vila, L. E. (2013). Education and skill mismatches: Wage and job satisfaction consequences. International Journal of Manpower, 34(5), 416–428.CrossRef

Becker, G. (1964). Human capital. Nueva York: Columbia University Press.

Boccanfuso, D., Larouche, A., & Trandafir, M. (2015). Quality of higher education and the labor market in developing countries: Evidence from an education reform in senegal. World Development, 74, 412–424.CrossRef

Böckerman, P., & Ilmakunnas, P. (2012). The job satisfaction-productivity nexus: A study using matched survey and register data. ILR Review, 65(2), 244–262.CrossRef

Borooah, V. K. (2009). Comparing levels of job satisfaction in the countries of Western and Eastern Europe. International Journal of Manpower, 30(4), 304–325.CrossRef

Brixiova, Z., & Égert, B. (2017). Entrepreneurship, institutions and skills in low-income countries. Economic Modelling. https://doi.org/10.1016/j.econmod.2017.02.020.CrossRef

Burris, V. (1983). The social and political consequences of overeducation. American Sociological Review, 48(4), 454–467.CrossRef

Chenic, A. S. (2013). Aspects of labor market flexicurity in the Mediterranean and Anglo-Saxon models. Theoretical and Applied Economics, 4(581), 75–90.

Chevalier, A. (2003). Measuring over-education. Economica, 70(279), 509–531.CrossRef

Clark, A. (1999). Are wages habit-forming? Evidence from micro data. Journal of Economic Behavior and Organization, 39(2), 179–200.CrossRef

Clark, A., & Oswald, A. (1996). Satisfaction and comparison income. Journal of Public Economics, 61(3), 359–381.CrossRef

Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the selfdetermination of behaviour. Psychological Inquiry, 11(4), 227–268.CrossRef

Di Pietro, G., & Urwin, P. (2006). Education and skills mismatch in the Italian graduate labor market. Applied Economics, 38(1), 79–93.CrossRef

Fakih, A., & Ghazalian, P. L. (2015). What factors influence firm perceptions of labour market constraints to growth in the MENA region? International Journal of Manpower, 36(8), 1181–1206.CrossRef

Ferrante, F. (2009). Education, aspirations and life satisfaction. Kyklos, 62(4), 542–562.CrossRef

Freeman, R. (1976). The overeducated American. New York: American Press.

Green, D., & McIntosh, S. (2007). Is there a genuine under-utilization of skills amongst the over-qualified? Applied Economics, 39(4), 427–439.CrossRef

Green, F., McIntosh, S., & Vignoles, A. (2002). The utilization of education and skills: Evidence from Britain. The Manchester School, 70(6), 792–811.CrossRef

Hall, R. (1994). Sociology of work: Perspectives, analysis and issues. Thousand Oaks, CA: Pine Forge Press.

Halvorsen, R., & Palmquist, R. (1980). The interpretation of dummy variables in semilogarithmic equations. American Economic Review, 70(3), 474–475.

Harmon, C., Oosterbeek, H., & Walker, I. (2003). The returns to education: Microeconomics. Journal of Economic Surveys, 17(2), 115–156.CrossRef

Hartog, J. (2000). Over-education and earnings: Where are we, where should we go? Economics of Education Review, 19(2), 131–147.CrossRef

Hoogerheide, L., Block, J. H., & Thurik, R. (2012). Family background variables as instruments for education in income regressions: A Bayesian analysis. Economics of Education Review, 31(5), 515–523.CrossRef

Huang, X., & Van de Vliert, E. (2003). Where intrinsic job satisfaction fails to work: National moderators of intrinsic motivation. Journal of Organizational Behavior, 24(2), 159–179.CrossRef

Hwang, S. K. (2006). Wage structure and skill development in Korea and Japan. The Japan Institute for Labour Policy and Training. www.jil.go.jp/english/reports/visiting.html.

Kristof-Brown, A. L., Zimmerman, R. D., & Johnson, E. C. (2005). Consequences of individuals’ fit at work: A meta-analysis of person-job, person-organization, person-group, and person-supervisor fit. Personnel Psychology, 58(2), 281–342.CrossRef

Kruss, G., McGrath, S., Petersen, I., & Gastrowa, M. (2015). Higher education and economic development: The importance of building technological capabilities. International Journal of Educational Development, 43, 22–31.CrossRef

Lazear, E. P. (2000). Performance pay and productivity. The American Economic Review, 90(5), 1346–1361.CrossRef

Lok, P., & Crawford, J. (2004). The effect of organisational culture and leadership style on job satisfaction and organisational commitment: A cross-national comparison. Journal of Management Development, 23(4), 321–338.CrossRef

Mateos-Romero, L., Murillo Huertas, I. P., & Salinas Jiménez, M. M. (2017). Wage effects of cognitive skills and educational mismatch in Europe. Journal of Policy Modeling. https://doi.org/10.1016/j.jpolmod.2017.08.001.CrossRef

Mavromaras, K., McGuinness, S., O’Leary, N., Sloane, P., & Wei, Z. (2013). Job mismatches and labour market outcomes: Panel evidence on university graduates. Economic Record, 89(286), 382–395.CrossRef

McGuinness, S. (2006). Overeducation in the labour market. Journal of Economic Surveys, 20(3), 387–418.CrossRef

McGuinness, S., & Sloane, P. J. (2011). Labour market mismatch among UK graduates: An analysis using REFLEX data. Economics of Education Review, 30(1), 130–145.CrossRef

Muysken, J., & Nour, S. (2006). Deficiencies in education and poor prospects for economic growth in the gulf countries: The case of the UAE. Journal of Development Studies, 42(6), 957–980.CrossRef

O’Brien, G. E. (1986). Psychology of work and unemployment. Chichester: Wiley.

OECD. (2013). OECD skills outlook 2013: First results from the survey of adult skills. Paris: OECD Publishing.

Olssen, M., & Peters, M. A. (2005). Neoliberalism, higher education and the knowledge economy: From the free market to knowledge capitalism. Journal of Education Policy, 20(3), 313–345.CrossRef

Rammstedt, B., Zabal, A., Martin, S., Perry, A., Helmschrott, S., Massing, N., et al. (2015). Programme for the international assessment of adult competencies (PIAAC), Germany-reduced version. GESIS Data Archive, Cologne. ZA5845 Data file Version 2.0.0. https://doi.org/10.4232/1.12182.

Sánchez-Sánchez, N., & McGinness, S. (2015). Decomposing the impacts of overeducation and overskilling on earnings and job satisfaction: An analysis using REFLEX data. Education Economics, 23(4), 419–432.CrossRef

Sattinger, M. (1993). Assignment models of the distribution of earnings. Journal of Economic Literature, 31(2), 831–880.

Schultz, T. W. (1962). Investment in human capital. American Economic Review, 51, 1–17.

Sicherman, N., & Galor, O. (1990). A theory of career mobility. Journal of Political Economy, 98(1), 169–192.CrossRef

Sousa-Poza, A., & Sousa-Poza, A. (2000). Well-being at work: A cross-national analysis of the levels and determinants of job satisfaction. Journal of Socio-Economics, 29, 517–538.CrossRef

Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374.CrossRef

Svejnar, J. (2002). Labor market flexibility in Central and East Europe. The William Davidson Institute Working Paper 496.

Thurow, L. C. (1975). Generating inequity. New York: Basic Books.CrossRef

Van den Broeck, A., Schreurs, B., Guenter, H., & Van Emmerik, H. (2015). Skill utilization and well-being: A cross-level story of day-to-day fluctuations and personal intrinsic values. Work and Stress, 29(3), 306–323.CrossRef

Van Ruysseveldt, J., & van Dijke, M. (2011). When are workload and workplace learning opportunities related in a curvilinear manner? The moderating role of autonomy. Journal of Vocational Behavior, 79(2), 470–483.CrossRef

Verdugo, R. R., & Verdugo, N. T. (1989). The impact of surplus schooling on earnings: Some additional findings. Journal of Human Resources, 24(4), 629–643.CrossRef

Verhaest, D., & Omey, E. (2009). Objective over-education and worker well-being: A shadow price approach. Journal of Economic Psychology, 30(3), 469–481.CrossRef

Titel: Labor Mismatches: Effects on Wages and on Job Satisfaction in 17 OECD Countries
verfasst von: Lucía Mateos-Romero
María del Mar Salinas-Jiménez
Publikationsdatum: 03.01.2018
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 1/2018
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-017-1830-y

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