Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi

Mücella Bursal

doi:10.25229/beta.1965814

EN TR

Analysis of Average Hourly Wages in Turkiye According to Socio-Demographic Variables

Abstract

This study aims to examine average hourly wages in Türkiye according to socio-demographic variables. The study included the average hourly wage of 129260 individuals selected from the 2023 TÜİK Household Labor Force Survey Microdata Set, for whom complete data on both dependent and independent variables were available. To investigate the effects of gender, age, marital status, education level, sector of employment, and registration on the average hourly wage variable, and the interactions of these variables with the gender variable, a Factorial ANOVA model was tested, including the main effects of these variables as well as the second-order co-effects of gender. The findings indicate that all main effects and second-order interaction effects in the model are statistically significant at the .001 level of significance. Accordingly, while average hourly wages show significant differences across the categories of gender, marital status, education level, industry, and employment status, the differences among the independent variable categories were found to interact significantly with the gender variable.

Keywords

Türkiye, Factorıal ANOVA, Average hourly wage

Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi

Abstract

Bu çalışmada Türkiye’de ortalama saatlik ücretlerin sosyo-demografik değişkenlere göre incelenmesi amaçlanmıştır. Araştırmada 2023 yılı TÜİK Hane halkı İşgücü Anketi Mikro Veri Seti’nde araştırma için seçilen bağımlı ve bağımsız değişken verileri tam olan 129260 bireyin ortalama saatlik ücreti araştırmaya dâhil edilmiştir. Çalışma kapsamında ortalama saatlik ücret değişkeni üzerinde cinsiyet, yaş, medeni durum, eğitim seviyesi, çalışılan sektör ve kayıtlılık bağımsız değişkenlerinin etkilerinin ve diğer bağımsız değişkenlerin cinsiyet değişkeni ile etkileşimlerinin incelenmesi için bu değişkenlerin temel etkilerinin yanında cinsiyet ile ikinci düzey ortak etkilerinin yer aldığı Faktöriyel ANOVA modeli test edilmiştir. Elde edilen bulgular, modelde yer alan tüm temel etkilerin ve ikinci düzey ortak etkilerin .001 anlamlılık düzeyinde istatistiksel olarak anlamlı olduğunu göstermektedir. Buna göre ortalama saatlik ücretler cinsiyet, medeni durum, eğitim seviyesi, çalışılan sektör ve kayıtlılık değişkenleri kategorileri arasında anlamlı farklılıklar göstermekle beraber, bağımsız değişken kategorileri arasındaki farklılaşmanın cinsiyet değişkeni ile anlamlı etkileşimde bulunduğu tespit edilmiştir.

Keywords

Faktöriyel ANOVA, ortalama saatlik ücretler, Türkiye

References

Becker, G. S. (1981). A treatise on the family. Harvard University Press.
Becker, G. S. (1993). Human capital: A theoretical and empirical analysis, with special reference to education (3rd ed.). University of Chicago Press.
Bhaduri, A., & Marglin, S. (1990). Unemployment and the real wage: the economic basis for contesting political ideologies. Cambridge Journal of Economics, 14(4), 375-393.
Blau, F. D., & Kahn, L. M. (2017). The gender wage gap: Extent, trends, and explanations. Journal of Economic Literature, 55(3), 789–865.
Blinder, A. S. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human Resources, 8(4), 436–455. https://doi.org/10.2307/144855
Borjas, G. J. (2016). Labor economics (7th ed.). McGraw-Hill Education.
Borjas, G. J. (2020). Labor economics (8th ed.). McGraw-Hill Education.
Budig, M. J., & England, P. (2001). The wage penalty for motherhood. American Sociological Review, 66(2), 204–225. https://doi.org/10.2307/2657415
Cain, G. G. (1976). The challenge of segmented labor market theories to orthodox theory: A survey. Journal of Economic Literature, 14(4), 1215–1257.
Card, D. (1999). The causal effect of education on earnings. Handbook of labor economics, 3, 1801-1863.

Dayıoğlu, M., & Kasnakoğlu, Z. (1997). Kentsel kesimde kadın ve erkeklerin işgücüne katılımları ve kazanç farklılıkları. ODTÜ Gelişme Dergisi, 24(3), 329–361.
Dickens, W. T., & Katz, L. F. (1986). Inter-industry wage differences and industry characteristics. In K. Lang & J. S. Leonard (Eds.). Unemployment and the structure of labor markets (pp. 48–89). Basil Blackwell.
Doeringer, P. B., & Piore, M. J. (1975). Unemployment and the "dual labor market". The Public Interest, 38, 67-79.
Ehrenberg, R. G., & Smith, R. S. (2018). Modern labor economics: Theory and public policy (13th ed.). Routledge.
Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
Games, P. A., & Howell, J. F. (1976). Pairwise multiple comparison procedures with unequal n’s and/or variances: a Monte Carlo study. Journal of Educational Statistics, 1(2), 113-125.
Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486-489.
Goldin, C. (2014). A grand gender convergence: Its last chapter. American Economic Review, 104(4), 1091–1119.
Gregory, R. G., & Borland, J. (1999). Recent developments in public sector labor markets. In O. Ashenfelter & D. Card (Eds.). Handbook of Labor Economics (Vol. 3C, pp. 3573–3630). Elsevier.
Gujarati, D. N. (2012). Basic econometrics (4th ed). McGraw-Hill.
ILO (2018). Women and men in the informal economy: A statistical picture (3rd ed.). ILO.
ILO (2022). Global Wage Report 2022–23: The impact of inflation and COVID-19 on wages and purchasing power. Geneva: ILO.
ILO (2023). Glossary of statistical terms: Wage. ILO.
İlkkaracan, İ., Kim, K., & Kaya, T. (2015). The impact of public investment in social care services on employment, gender equality and poverty. Istanbul Technical University Women's Studies Center Working Paper.
Killewald, A., & Gough, M. (2013). Does specialization explain marriage penalties and premiums? American Sociological Review, 78(3), 477–502.
Korenman, S., & Neumark, D. (1991). Does marriage really make men more productive? Journal of Human Resources, 26(2), 282–307.
Krueger, A. B., & Summers, L. H. (1988). Interindustry wage differentials in the United States. Econometrica, 56(2), 259–293. https://doi.org/10.2307/1911072
Marshall, A. (1920). Industrial organization, continued. The concentration of specialized industries in particular localities. In Principles of economics (pp. 222-231). London: Palgrave Macmillan UK.
Mincer, J. (1974). Schooling, experience and earnings. Columbia University Press.
Oaxaca, R. (1973). Male–female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709. https://doi.org/10.2307/2525981
OECD (2023). OECD employment outlook 2023. OECD Publishing.
Perry, G. (Ed.). (2007). Informality: Exit and exclusion. World Bank Publications.
Piore, M. J. (1972). Notes for a theory of labor market stratification. Working Paper, Department of Economics, Massachusetts Institute of Technology, 95, 1-33.
Reich, M., Gordon, D. M., & Edwards, R. C. (1973). A theory of labor market segmentation. American Economic Review, 63(2), 359–365.
Schneider, F., & Enste, D. H. (2013). The shadow economy: An international survey. Cambridge University Press.
Shapiro, C., & Stiglitz, J. E. (1984). Equilibrium unemployment as a worker discipline device. The American Economic Review, 74(3), 433-444.
Tansel, A. (1994). Wage employment, earnings and returns to schooling for men and women in Turkey. Economics of Education Review, 13(4), 305–320.
Tansel, A. (2005). Public-private employment choice, wage differentials, and gender in Turkey. Economic Development and Cultural Change, 53(2), 453–477.
Tansel, A., & Daoud, Y. (2011). Comparative essay on returns to education in Palestine and Turkey. IZA Discussion Paper No. 5907.
Tansel, A., Dalgıç, B., & Güven, A. (2019). Wage inequality and wage mobility in Turkey. Social Indicators Research, 142(1), 107-129.
Türkiye İstatistik Kurumu (2023). İşgücü istatistikleri. Türkiye İstatistik Kurumu.
World Bank (2020). World development report 2020: Trading for development in the age of global value chains. World Bank.

Details

Primary Language

Turkish

Subjects

Labor Economics

Journal Section

Research Article

Authors

Mücella Bursal ^*
0000-0003-2744-355X
Türkiye

Early Pub Date

October 16, 2026

Publication Date

October 16, 2026

Submission Date

June 7, 2026

Acceptance Date

August 20, 2026

Published in Issue

Year 2026 Volume: 11 Number: 3

DOI

https://doi.org/10.25229/beta.1965814

IZ

https://izlik.org/JA24TW26GG

APA

Bursal, M. (2026). Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi. Bulletin of Economic Theory and Analysis, 11(3), 1891-1915. https://doi.org/10.25229/beta.1965814

AMA

1.Bursal M. Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi. Beta. 2026;11(3):1891-1915. doi:10.25229/beta.1965814

Chicago

Bursal, Mücella. 2026. “Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi”. Bulletin of Economic Theory and Analysis 11 (3): 1891-1915. https://doi.org/10.25229/beta.1965814.

EndNote

Bursal M (October 1, 2026) Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi. Bulletin of Economic Theory and Analysis 11 3 1891–1915.

IEEE

[1]M. Bursal, “Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi”, Beta, vol. 11, no. 3, pp. 1891–1915, Oct. 2026, doi: 10.25229/beta.1965814.

ISNAD

Bursal, Mücella. “Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi”. Bulletin of Economic Theory and Analysis 11/3 (October 1, 2026): 1891-1915. https://doi.org/10.25229/beta.1965814.

JAMA

1.Bursal M. Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi. Beta. 2026;11:1891–1915.

MLA

Bursal, Mücella. “Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi”. Bulletin of Economic Theory and Analysis, vol. 11, no. 3, Oct. 2026, pp. 1891-15, doi:10.25229/beta.1965814.

Vancouver

1.Mücella Bursal. Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi. Beta. 2026 Oct. 1;11(3):1891-915. doi:10.25229/beta.1965814

The articles published in this journal are licensed under a Creative Commons Attribution-NonCommercial International License (CC BY-NC).

Analysis of Average Hourly Wages in Turkiye According to Socio-Demographic Variables

Abstract

Keywords

Türkiye’de Ortalama Saatlik Ücretlerin Sosyo-Demografik Değişkenlere Göre İncelenmesi

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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