Abstract
In this paper, an Ordinary Least Squares (OLS) regression model is used to analyze the effect of education on monthly wages in Indonesia. It emphasizes both the primary factorsyears of education and monthly wagesas well as side factors, such as the year of birth, the children population in 1971, average education among the old, and the urban birth population. The study starts by giving an explanation of the chosen factors and establishing the theoretical justification for their potential impact on wages. The OLS model is then used with several decades of data to examine the relationship between these factors. The paper concludes by interpreting these results and discussing their implications for policymaking, particularly in the realms of education and wage regulation. It emphasizes the significance of education as a major factor influencing wage levels in Indonesia while also highlighting the impact of demographic and sociological factors.
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