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Mismatch antara Bidang Pendidikan dan Pekerjaan Tidak Selamanya Merugikan: Studi Empiris tentang Kesenjangan Upah Lulusan SMK Desvira, Tetri; N, Zulkifli
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1176

Abstract

This study analyzes wage differentials between vocational high school graduates in Indonesia who work in jobs aligned with their field of training and those who work outside their field, using data from the 2024 National Labor Force Survey. The analytical methods include the Heckman two-step selection model to correct for labor force participation bias, separate OLS regressions for each group, and the Blinder-Oaxaca decomposition to identify the sources of wage disparities. The results show that horizontal mismatch has significant implications for wage structures. Although the average wage difference between matched and mismatched groups is not statistically significant, the decomposition analysis reveals that most of the wage gap arises from differences in observable characteristics, along with a significant influence of unobserved factors (unexplained). These findings suggest that vocational mismatch affects not only labor market efficiency but also wage distribution, which should be taken into account in vocational education and employment policy design.
Analisis Pengaruh Luas Lahan dan Sumber Penghasilan terhadap Pendapatan Rumah Tangga Usaha Pertanian N, Zulkifli; Karimi, Syafruddin; Taifur, Werry Darta; Ridwan, Endrizal
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (March 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i1.245

Abstract

This study examines the effect of land area and income sources of agricultural households on their income in the context of reducing poverty in the agricultural sector. This study uses a quantitative approach and multiple regression methods as an analytical tool with data from the Agricultural Business Household Income Survey which is part of the 2013 Agricultural Census of West Sumatra Province. The data used in this study is cross-sectional data with total agricultural household income as the dependent variable and the amount of land owned by agricultural households, the area of ​​land controlled and cultivated by agricultural households, the percentage of agricultural household income from agricultural sector businesses, the percentage of agricultural household income from non-agricultural businesses, the percentage of other agricultural household income , the percentage of agricultural household income from wages in the agricultural sector, and the percentage of agricultural household income non-agricultural wage income. The results showed that the variable area of ​​land owned and the area of ​​land controlled and cultivated by agricultural households had a positive effect on their total income. Other variables that have a positive effect on total agricultural household income are the percentage of income from non-agricultural businesses and the percentage of non-agricultural wage income. On the other hand, the percentage of agricultural household income from agricultural sector businesses and the percentage of agricultural household income from wages in the agricultural sector have a negative effect on their total income. The results of this study suggest the need for redistribution of land to land-poor agricultural households and encourage them to diversify their business outside the agricultural sector but still based on agricultural products.