Legacy of the Czar: Complementarity between education and work in Russia

Zhangaliyeva, Aigerim; Nakabayashi, Masaki

doi:10.1080/15140326.2023.2230623

Cited by 1 publication

(2 citation statements)

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“…Research from Tran illustrates that in Vietnam, individuals with a lower secondary school diploma tend to secure higher wage incomes [4]. Zhangaliyeva's study identifies a pattern across industrial economies where graduates from vocational schools have a higher probability of employment compared to their peers from other institutions [5]. Further supporting the benefits of education, Bicakova's study leverages data from nearly 40 cohorts of American college graduates and reveals a positive correlation between the unemployment rate at the time of college enrollment and subsequent yearly earnings, a trend particularly pronounced for women [6].…”

Section: Related Researchmentioning

confidence: 99%

“…The Root Mean Square Error (MSE) of 1.9e+05 continues to show the spread of the observed values around the predicted values, while robust standard errors affirm the model's estimates' reliability. 4) Introducing Urban Birth Population (urban) From Table 5, An even more comprehensive model (5), with added urban birth population (urban) variable and its interaction terms, the associations with the monthly wage (wage) in Indonesia remain improvements with each additional variable, the R-squared value in the final model suggests that other factors, not included in the model, might also significantly influence wages.…”

Section: Multi Regressionmentioning

confidence: 99%

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The Effect of Education on Monthly Wage in Indonesia

2023

AEMPS

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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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Section: Related Researchmentioning

confidence: 99%

Section: Multi Regressionmentioning

confidence: 99%