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Over-education rates and predictors of entry-level jobs in Türkiye

Year 2024, Volume: 11 Issue: 4, 758 - 773, 15.11.2024
https://doi.org/10.21449/ijate.1495346

Abstract

This research aims to determine the proportion of overeducated individuals with higher education levels compared to their colleagues who are graduates of associate, undergraduate, and postgraduate education but work at the same status in entry-level jobs. Overeducation rates in entry-level jobs in Türkiye were determined using the Turkish Statistical Institute (TUIK) Household Labor Force Surveys (2014-2019) microdata set. The job analyst measure was used to determine the rate of overeducation. Logistic regression data analysis was conducted to classify the variables that predict the state of being overeducated with the TUIK 2019 Household Labor Force Survey. According to the findings, overeducation rates increased gradually over the years by 8.02% in 2014, 8.98% in 2015, 9.78% in 2016, 10.43% in 2017, 11.00% in 2018, and 12.5% in 2019. For the state of being overeducated, various demographic variables were analyzed and predicted, such as income, age, region, gender, ISCED, marital status, firm size, place of work, additional job searches, ISCO 08 classification, and employment status.

Ethical Statement

Ankara University, Ethics Committee, 2021/16.

References

  • Aksoy, H.H. (1998). Relationship between education and employment: how do employes use educational indicators in hiring? Journal of Interdisciplinary Education, 3(1). https://files.eric.ed.gov/fulltext/ED426207.pdf
  • Atasoy, D. (2001). Lojistik regresyon analizinin ve bir uygulaması. [Examination of logistic regression analysis and an application] [Master’s dissertation, Cumhuriyet University].
  • Becker, G.S. (1975). Human capital: a theoretical and emprical analysis with special reference to education. NBER.
  • Berg, I. (1970). Education and jobs: the great training robbery. Praeger.
  • Budra, S., & Moro-Egido, A.I. (2018). Qualication and skill mismatches: Europe from a cross-national perspective. Cuadernos Económicos de ICE, 95, 151 188. https://doi.org/10.32796/cice.2018.95.6646
  • Büchel, F. (2001). Overqualification: reasons, measurement issues and typological affinity to unemployment. Office for Official Publications of the European Communities. https://www.cedefop.europa.eu/files/3008EN244Buechel.pdf
  • Carroll, D., & Tani, M. (2015). Job search as a determinant of graduate overeducation: Evidence from Australia. Education Economics, 23(5), 631–644. https://ftp.iza.org/dp7202.pdf
  • Chevalier, A., & Walker, I. (2001). Further results on the returns to education in the UK. (I. Walker, N. Westergard-Nielsenand & C. Harmon (Eds.), Education and earnings in europe: a cross-country analysis of returns to education. (pp.302-330). Edward Elgar. http://eprints.lse.ac.uk/19277/
  • Chevalier, A. (2003). Measuring overeducation. Economica, 70(279), 509 531. https://doi.org/10.1111/1468-0335.t01-1-00296
  • Clogg, C.C., & Shockey, J.W. (1984). Mismatch between occupation and schooling: prevalence measure, recent trends and demographic Analysis. Demography, 21(2), 235-257. https://doi.org/10.2307/2061042.
  • Cohn, E., & Ng, Y.C. (2000). Incidence and wage effects of overschooling and in Hong Kong. Economics of Education Review, 19, 159 168. https://www.sciencedirect.com/science/article/pii/S0272-7757(99)00006-0
  • Creswell, J.W. (2017). Eğitim araştrmaları: nicel ve nitel araştırmanın planlanması yürütülmesi ve değerlendirilmesi. [Educational research planning, conducting and evaluating quantitative and qualitative research] (Çev. H. Ekşi). Eğitim Danışmanlığı ve Araştırmaları Merkezi.
  • Çokluk, Ö. (2010). Lojistik regresyon analizi: Kavram ve uygulama, [Logistic regression analysis: Concept and application] Educational Sciences in Theory and Practice, Kuram ve Uygulamada Eğitim Bilimleri, 10(3), 1357-1407.
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik SPSS ve LISREL uygulamaları [Multivariate statistics for social sciences: SPSS and LISREL applications]. Pegem Akademi Yayıncılık.
  • Delaney, J., McGuinness, S., Pouliakas, K., & Redmond, P. (2020). Educational expansion and overeducation of young graduates: a comparative analysis of 30 European countries. Oxford Review of Education, 46(1), 10 29. https://doi.org/10.1080/03054985.2019.1687433
  • Desjardins, R., & Rubenson, K. (2011). An Analysis of Skill Mismatch Using Direct Measures of Skills, OECD Education Working Papers. OECD Publishing. https://doi.org/10.1787/5kg3nh9h52g5-en
  • Dolton, P.J., & Vignoles, A. (2000). The incidence and effects of overeducation in the U.K. graduate labor market, Economics of Education Review, 19, 179–198.
  • Dunn, D.S. (2001). Statistics and data analysis for the behavioral sciences. McGraw Companies.
  • Field, A. (2009). Discovering statistics using SPSS (Third Ed.). SAGE Publications.
  • Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage Publications.
  • Frank, R.H. (1978). Why women earn less: The theory and estimation of differential over qualification, American Economic Review, 68(3), 360- 373.
  • Franzen, A. (2006). Social networks and labor market outcomes: The non-monetary benefits of social capital. European Sociological Review, 22(4), 353 368. https://doi.org/10.1093/esr/jcl001
  • Freeman, R.B. (1976). The overeducated American. Academic Press.
  • Freeman, R.B. (1979). Why is there a youth labor market problem? NBER Working Paper Series, 365. 1-32. https://doi.org/10.3386/w0365
  • García-Mainar, I., García-Martín, G., & Montuenga, V. (2014). Overeducation and gender occupational differences in Spain. Social Indicators Research, 124(3), 807–833. https://doi.org/10.1007/s11205-014-0811-7
  • Green, F., Mcıntosh, S., & Vignoles, A. (1999). Overeducation and Skills: Clarifying the Concepts. Centre for Economic Performance Discussion Paper, London: School of Economics and Political Science. http://cep.lse.ac.uk
  • Groot, W., & Maassen Van Den Brink, H. (2000). Overeducation in the labor market: A meta analysis. Economics of Education Review, 19, 149 58. http://www.sciencedirect.com/science/article/pii/S0272-7757(99)00057-6
  • Hair, F.J., Black, C.W., Babin, B.J., & Anderson, E.R. (2019). Multivariate data analysis (Eighth Ed.). Cengage Learning.
  • Halaby, C.N. (1994). Overeducation and skill mismatch. Sociology of Education, 67(1), 47-59. https://doi.org/10.2307/2112749
  • Handel., M.J., Valerio, A., & Sanchez Puerta, M.L. (2016). Accounting for mismatch in low- and middle-income countries: Measurement, magnitudes, and explanations. Directions in Development World Bank Group. http://documents.worldbank.org/curated/en/837391472639964572/Accounting-for-mismatch-in-low-and-middle-income-countries-measurement-magnitudes-and-explanations
  • Hartog, J., & Oosterbeek, H. (1988). Education, allocation and earnings in the Netherlands: 0verschooling? Economics of Education Review, 7(2), 185 194. https://doi.org/10.1016/0272-7757(88)90043-X
  • Hartog, J. (2000). Overeducation and earnings: Where are we and where should we go? Economics of Education Review, 19, 131–147. https://doi.org/10.1016/S0272-7757(99)00050-3
  • International Labour Organization. (2019). Skills and jobs mismatches in low and middle income countries. GILO.
  • Kalaycı, Ş. (2014). SPSS uygulamalı çok değişkenli istatistik teknikleri] [Multivariate statistical techniques with SPSS]. Asil Yayıncılık.
  • Kiker, B.F., & Santos, M.C. (1991). Human capital and earnings in Portugal. Economics of Education Review, 10 (3), 187–203. https://doi.org/10.1016/0272-7757(91)90043-O
  • Kucel, A. (2011) Literature survey of the incidence of overeducation: a sociological approach. Revista Espanola de Investigaciones Sociológicas (REIS), 134, 125-142. http://www.reis.cis.es/REIS/PDF/Reis_134_061302519925436.pdf
  • Kurnaz, I. (2015). İşgücü piyasalarında uyumsuz eşleşme ve aşırı eğitimlilik olgusu: Türkiye’nin ilk 500 firması, Ankara ili örneği. [Overeducatıon and mısmatch ın the labor market: the case of top 500 largest ındustrıal organızatıons of Turkey, Ankara provınce] [Doctoral dissertation, Gazi University].
  • Leuven, E., & Oosterbeek, H. (2011). Overeducation and mismatch in the labor market, IZA Discussion Paper Series, 5523, 1- 53. https://docs.iza.org/dp5523.pdf
  • Long, J.S. (1997). Regression models for categorical and limited dependent variables. Sage Publications.
  • McGuinness, S. (2006). Overeducation in the labor market. Journal Econonic of Surveys, 20, 387–418. https://doi.org/10.1111/j.0950-0804.2006.00284
  • McGuinness, S., Pouliakas, K., & Redmond, P. (2018) Skills mismatch: concepts, measurement and policy approaches, Journal of Economic Surveys, 32(4), 985 1015. https://doi.org/10.1111/joes.12254
  • Menard, S. (2002). Applied logistic regression analysis (2nd ed.). Sage Publications.
  • Mendes De Oliviera, M., Santos, M., & Kiker, B. (2000). The role of human capital and technological change in overeducation. Economics of Education Review, 19, 199–206. https://doi.org/10.1016/S0272-7757(99)00020-5
  • Mertler, C.A., & Reinhart, R.V. (2017). Advanced and multivariate statistical methods practical application and interpretation. Routledge.
  • Nieto, S., & Ramos, R. (2017). Overeducation, skills and wage penalty: evidence for Spain using PIAAC data. Social Indicators Research, 134(1), 219 236. https://doi.org/10.1007/s11205-016-1423-1
  • Pallant, J. (2005). SPSS survival manual: a step by step guide to data analysis using SPSS. Allen & Unwin Publications.
  • Pouliakas, K. (2012). The skill mismatch challenge in Europe. In: European Commission (Eds.). Employment and social developments in Europe (pp. 351- 394). Publications Office,
  • Quintini, G. (2011a). Over-qualified or under-Skilled: A review of existing literature. OECD Social, Employment and Migration Working Papers. OECD Publishing. https://doi.org/10.1787/1815199X
  • Quintini, G. (2011b). Right for the Job: Over-Qualifiedor Under-Skilled? France: OECD Social, Employment and Migration Working Papers. https://doi.org/10.1787/5kg59fcz3tkd-en
  • Rumberger, R. (1981). Overeducation in the U.S. labor market. Praeger.
  • Rumberger, R. (1987). The impact of surplus schooling on productivity and earnings. Journal of Human Resources, 22(1), 24–50. https://doi.org/10.2307/145998
  • Sicherman, N. (1991). Overeducation in the labor market. Journal of Labor Economics, 9(2), 101-122 https://www.jstor.org/stable/2535236?seq=1/subjects.
  • Stephenson, B. (2008). Binary response and logistic regression analysis. http://pages.stat.wisc.edu/~mchung/teaching/MIA/reading/GLM.logistic.Rpackage.pdf
  • Tabachnick, B.G., & Fidell, L.S. (2007). Using multivariate statistics (Fifth Ed.). Pearson Publications.
  • Thurow, J., & Lucas, R. (1972). The American distribution of income: a structural problem. U.S Government Printing of Fice. https://www.jec.senate.gov/reports/92nd%20Congress/The%20American%20Distribution%20of%20Income%20%20A%20Structural%20Problem%20(546).pdf
  • Tinsley, H.E.A., & Brown, S.D. (2000). Handbook of applied multivariate statistics and mathematical modeling. Elsevier Science & Technology Books.
  • Ünal, I.L. (1996). Eğitim ve yetiştirme ekonomisi. [Economics of education and training]. Epar Yayınları.
  • Verdugo, R., & Verdugo, N. (1988). The ımpact of surplus schooling on earnings: some additional findings. The Journal of Human Resources, 24(4), 629 643. https://doi.org/10.2307/145998

Over-education rates and predictors of entry-level jobs in Türkiye

Year 2024, Volume: 11 Issue: 4, 758 - 773, 15.11.2024
https://doi.org/10.21449/ijate.1495346

Abstract

This research aims to determine the proportion of overeducated individuals with higher education levels compared to their colleagues who are graduates of associate, undergraduate, and postgraduate education but work at the same status in entry-level jobs. Overeducation rates in entry-level jobs in Türkiye were determined using the Turkish Statistical Institute (TUIK) Household Labor Force Surveys (2014-2019) microdata set. The job analyst measure was used to determine the rate of overeducation. Logistic regression data analysis was conducted to classify the variables that predict the state of being overeducated with the TUIK 2019 Household Labor Force Survey. According to the findings, overeducation rates increased gradually over the years by 8.02% in 2014, 8.98% in 2015, 9.78% in 2016, 10.43% in 2017, 11.00% in 2018, and 12.5% in 2019. For the state of being overeducated, various demographic variables were analyzed and predicted, such as income, age, region, gender, ISCED, marital status, firm size, place of work, additional job searches, ISCO 08 classification, and employment status.

Ethical Statement

Ankara University, Ethics Committee, 2021/16.

References

  • Aksoy, H.H. (1998). Relationship between education and employment: how do employes use educational indicators in hiring? Journal of Interdisciplinary Education, 3(1). https://files.eric.ed.gov/fulltext/ED426207.pdf
  • Atasoy, D. (2001). Lojistik regresyon analizinin ve bir uygulaması. [Examination of logistic regression analysis and an application] [Master’s dissertation, Cumhuriyet University].
  • Becker, G.S. (1975). Human capital: a theoretical and emprical analysis with special reference to education. NBER.
  • Berg, I. (1970). Education and jobs: the great training robbery. Praeger.
  • Budra, S., & Moro-Egido, A.I. (2018). Qualication and skill mismatches: Europe from a cross-national perspective. Cuadernos Económicos de ICE, 95, 151 188. https://doi.org/10.32796/cice.2018.95.6646
  • Büchel, F. (2001). Overqualification: reasons, measurement issues and typological affinity to unemployment. Office for Official Publications of the European Communities. https://www.cedefop.europa.eu/files/3008EN244Buechel.pdf
  • Carroll, D., & Tani, M. (2015). Job search as a determinant of graduate overeducation: Evidence from Australia. Education Economics, 23(5), 631–644. https://ftp.iza.org/dp7202.pdf
  • Chevalier, A., & Walker, I. (2001). Further results on the returns to education in the UK. (I. Walker, N. Westergard-Nielsenand & C. Harmon (Eds.), Education and earnings in europe: a cross-country analysis of returns to education. (pp.302-330). Edward Elgar. http://eprints.lse.ac.uk/19277/
  • Chevalier, A. (2003). Measuring overeducation. Economica, 70(279), 509 531. https://doi.org/10.1111/1468-0335.t01-1-00296
  • Clogg, C.C., & Shockey, J.W. (1984). Mismatch between occupation and schooling: prevalence measure, recent trends and demographic Analysis. Demography, 21(2), 235-257. https://doi.org/10.2307/2061042.
  • Cohn, E., & Ng, Y.C. (2000). Incidence and wage effects of overschooling and in Hong Kong. Economics of Education Review, 19, 159 168. https://www.sciencedirect.com/science/article/pii/S0272-7757(99)00006-0
  • Creswell, J.W. (2017). Eğitim araştrmaları: nicel ve nitel araştırmanın planlanması yürütülmesi ve değerlendirilmesi. [Educational research planning, conducting and evaluating quantitative and qualitative research] (Çev. H. Ekşi). Eğitim Danışmanlığı ve Araştırmaları Merkezi.
  • Çokluk, Ö. (2010). Lojistik regresyon analizi: Kavram ve uygulama, [Logistic regression analysis: Concept and application] Educational Sciences in Theory and Practice, Kuram ve Uygulamada Eğitim Bilimleri, 10(3), 1357-1407.
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik SPSS ve LISREL uygulamaları [Multivariate statistics for social sciences: SPSS and LISREL applications]. Pegem Akademi Yayıncılık.
  • Delaney, J., McGuinness, S., Pouliakas, K., & Redmond, P. (2020). Educational expansion and overeducation of young graduates: a comparative analysis of 30 European countries. Oxford Review of Education, 46(1), 10 29. https://doi.org/10.1080/03054985.2019.1687433
  • Desjardins, R., & Rubenson, K. (2011). An Analysis of Skill Mismatch Using Direct Measures of Skills, OECD Education Working Papers. OECD Publishing. https://doi.org/10.1787/5kg3nh9h52g5-en
  • Dolton, P.J., & Vignoles, A. (2000). The incidence and effects of overeducation in the U.K. graduate labor market, Economics of Education Review, 19, 179–198.
  • Dunn, D.S. (2001). Statistics and data analysis for the behavioral sciences. McGraw Companies.
  • Field, A. (2009). Discovering statistics using SPSS (Third Ed.). SAGE Publications.
  • Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage Publications.
  • Frank, R.H. (1978). Why women earn less: The theory and estimation of differential over qualification, American Economic Review, 68(3), 360- 373.
  • Franzen, A. (2006). Social networks and labor market outcomes: The non-monetary benefits of social capital. European Sociological Review, 22(4), 353 368. https://doi.org/10.1093/esr/jcl001
  • Freeman, R.B. (1976). The overeducated American. Academic Press.
  • Freeman, R.B. (1979). Why is there a youth labor market problem? NBER Working Paper Series, 365. 1-32. https://doi.org/10.3386/w0365
  • García-Mainar, I., García-Martín, G., & Montuenga, V. (2014). Overeducation and gender occupational differences in Spain. Social Indicators Research, 124(3), 807–833. https://doi.org/10.1007/s11205-014-0811-7
  • Green, F., Mcıntosh, S., & Vignoles, A. (1999). Overeducation and Skills: Clarifying the Concepts. Centre for Economic Performance Discussion Paper, London: School of Economics and Political Science. http://cep.lse.ac.uk
  • Groot, W., & Maassen Van Den Brink, H. (2000). Overeducation in the labor market: A meta analysis. Economics of Education Review, 19, 149 58. http://www.sciencedirect.com/science/article/pii/S0272-7757(99)00057-6
  • Hair, F.J., Black, C.W., Babin, B.J., & Anderson, E.R. (2019). Multivariate data analysis (Eighth Ed.). Cengage Learning.
  • Halaby, C.N. (1994). Overeducation and skill mismatch. Sociology of Education, 67(1), 47-59. https://doi.org/10.2307/2112749
  • Handel., M.J., Valerio, A., & Sanchez Puerta, M.L. (2016). Accounting for mismatch in low- and middle-income countries: Measurement, magnitudes, and explanations. Directions in Development World Bank Group. http://documents.worldbank.org/curated/en/837391472639964572/Accounting-for-mismatch-in-low-and-middle-income-countries-measurement-magnitudes-and-explanations
  • Hartog, J., & Oosterbeek, H. (1988). Education, allocation and earnings in the Netherlands: 0verschooling? Economics of Education Review, 7(2), 185 194. https://doi.org/10.1016/0272-7757(88)90043-X
  • Hartog, J. (2000). Overeducation and earnings: Where are we and where should we go? Economics of Education Review, 19, 131–147. https://doi.org/10.1016/S0272-7757(99)00050-3
  • International Labour Organization. (2019). Skills and jobs mismatches in low and middle income countries. GILO.
  • Kalaycı, Ş. (2014). SPSS uygulamalı çok değişkenli istatistik teknikleri] [Multivariate statistical techniques with SPSS]. Asil Yayıncılık.
  • Kiker, B.F., & Santos, M.C. (1991). Human capital and earnings in Portugal. Economics of Education Review, 10 (3), 187–203. https://doi.org/10.1016/0272-7757(91)90043-O
  • Kucel, A. (2011) Literature survey of the incidence of overeducation: a sociological approach. Revista Espanola de Investigaciones Sociológicas (REIS), 134, 125-142. http://www.reis.cis.es/REIS/PDF/Reis_134_061302519925436.pdf
  • Kurnaz, I. (2015). İşgücü piyasalarında uyumsuz eşleşme ve aşırı eğitimlilik olgusu: Türkiye’nin ilk 500 firması, Ankara ili örneği. [Overeducatıon and mısmatch ın the labor market: the case of top 500 largest ındustrıal organızatıons of Turkey, Ankara provınce] [Doctoral dissertation, Gazi University].
  • Leuven, E., & Oosterbeek, H. (2011). Overeducation and mismatch in the labor market, IZA Discussion Paper Series, 5523, 1- 53. https://docs.iza.org/dp5523.pdf
  • Long, J.S. (1997). Regression models for categorical and limited dependent variables. Sage Publications.
  • McGuinness, S. (2006). Overeducation in the labor market. Journal Econonic of Surveys, 20, 387–418. https://doi.org/10.1111/j.0950-0804.2006.00284
  • McGuinness, S., Pouliakas, K., & Redmond, P. (2018) Skills mismatch: concepts, measurement and policy approaches, Journal of Economic Surveys, 32(4), 985 1015. https://doi.org/10.1111/joes.12254
  • Menard, S. (2002). Applied logistic regression analysis (2nd ed.). Sage Publications.
  • Mendes De Oliviera, M., Santos, M., & Kiker, B. (2000). The role of human capital and technological change in overeducation. Economics of Education Review, 19, 199–206. https://doi.org/10.1016/S0272-7757(99)00020-5
  • Mertler, C.A., & Reinhart, R.V. (2017). Advanced and multivariate statistical methods practical application and interpretation. Routledge.
  • Nieto, S., & Ramos, R. (2017). Overeducation, skills and wage penalty: evidence for Spain using PIAAC data. Social Indicators Research, 134(1), 219 236. https://doi.org/10.1007/s11205-016-1423-1
  • Pallant, J. (2005). SPSS survival manual: a step by step guide to data analysis using SPSS. Allen & Unwin Publications.
  • Pouliakas, K. (2012). The skill mismatch challenge in Europe. In: European Commission (Eds.). Employment and social developments in Europe (pp. 351- 394). Publications Office,
  • Quintini, G. (2011a). Over-qualified or under-Skilled: A review of existing literature. OECD Social, Employment and Migration Working Papers. OECD Publishing. https://doi.org/10.1787/1815199X
  • Quintini, G. (2011b). Right for the Job: Over-Qualifiedor Under-Skilled? France: OECD Social, Employment and Migration Working Papers. https://doi.org/10.1787/5kg59fcz3tkd-en
  • Rumberger, R. (1981). Overeducation in the U.S. labor market. Praeger.
  • Rumberger, R. (1987). The impact of surplus schooling on productivity and earnings. Journal of Human Resources, 22(1), 24–50. https://doi.org/10.2307/145998
  • Sicherman, N. (1991). Overeducation in the labor market. Journal of Labor Economics, 9(2), 101-122 https://www.jstor.org/stable/2535236?seq=1/subjects.
  • Stephenson, B. (2008). Binary response and logistic regression analysis. http://pages.stat.wisc.edu/~mchung/teaching/MIA/reading/GLM.logistic.Rpackage.pdf
  • Tabachnick, B.G., & Fidell, L.S. (2007). Using multivariate statistics (Fifth Ed.). Pearson Publications.
  • Thurow, J., & Lucas, R. (1972). The American distribution of income: a structural problem. U.S Government Printing of Fice. https://www.jec.senate.gov/reports/92nd%20Congress/The%20American%20Distribution%20of%20Income%20%20A%20Structural%20Problem%20(546).pdf
  • Tinsley, H.E.A., & Brown, S.D. (2000). Handbook of applied multivariate statistics and mathematical modeling. Elsevier Science & Technology Books.
  • Ünal, I.L. (1996). Eğitim ve yetiştirme ekonomisi. [Economics of education and training]. Epar Yayınları.
  • Verdugo, R., & Verdugo, N. (1988). The ımpact of surplus schooling on earnings: some additional findings. The Journal of Human Resources, 24(4), 629 643. https://doi.org/10.2307/145998
There are 58 citations in total.

Details

Primary Language English
Subjects Measurement and Evaluation in Education (Other)
Journal Section Articles
Authors

Sevgi Ernas 0000-0003-1213-7285

Early Pub Date October 21, 2024
Publication Date November 15, 2024
Submission Date June 3, 2024
Acceptance Date August 26, 2024
Published in Issue Year 2024 Volume: 11 Issue: 4

Cite

APA Ernas, S. (2024). Over-education rates and predictors of entry-level jobs in Türkiye. International Journal of Assessment Tools in Education, 11(4), 758-773. https://doi.org/10.21449/ijate.1495346

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