Education returns of wage earners and self-employed workers: Comment

Jordahl, Henrik; Poutvaara, Panu; Tuomala, Juha

doi:10.1016/j.econedurev.2008.07.003

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…Pendidikan individu berkolerasi dengan karakteristik individu yang mempengaruhi pendapatan atau upah secara langsung. Sehingga apabila tingkat pendidikan individu tinggi maka akan secara langsung mempengaruhi upah sehingga tingkat upah yang diterima tinggi, begitupun jika pendidikan individu rendah akan menyebabkan upah juga rendah (Jordhal et al, 2009).…”

Section: Hubungan Antara Pendidikan Dengan Pendapatan Tenaga Kerjaunclassified

Pengaruh Umur, Jenis Kelamin, Jam Kerja, Status Pekerjaan Dan Pendidikan Terhadap Pendapatan Tenaga Kerja Di Kota Padang

Desanti

Ariusni

2021

JKEP

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This study aims to determine and analyze how the influence of age, gender, working hours, employment status and education on the income of workers in the city of Padang. The types and sources of data in this study are from the National Labor Force Survey (SAKERNAS in 2019. In this study, multiple regression analysis was used to see the effect of the independent variables on the dependent variable with the number of samples used as many as 912 workers. The results of this study indicate that age has a positive and significant effect on labor incomein Padang City, gender has a positive and significant effect on labor income in Padang City, working hours have a positive and significant effect on labor income in Padang City, employment status has a positive effect. and significant to the income of workers in the city of Padang, education also affects the income of workers in the city of Padang.

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Section: Hubungan Antara Pendidikan Dengan Pendapatan Tenaga Kerjaunclassified

Pengaruh Umur, Jenis Kelamin, Jam Kerja, Status Pekerjaan Dan Pendidikan Terhadap Pendapatan Tenaga Kerja Di Kota Padang

Desanti

Ariusni

2021

JKEP

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“…Sehingga tenaga kerja berpendidikan rendah memiliki peluang yang kecil untuk memperoleh upah diatas UMP, sedangkan kualifikasi pendidikan yang tinggi akan memperoleh upah tinggi. Jordahl (2009) menyatakan bahwa pilihan pendidikan individu berkorelasi dengan karakteristik individu yang mempengaruhi pendapatan atau upah secara langsung. Pengembalian pendidikan tergantung kepada pilihan individu untuk bekerja sendiri atau berwirausaha.…”

Section: Pengaruh Tingkat Pendidikan Terhadap Upahunclassified

“…Pendidikan individu berkorelasi dengan karakteristik individu yang mempengaruhi pendapatan atau upah secara langsung Sehingga apabila tingkat pendidikan individu tinggi maka akan secara langsung mempengaruhi upah sehingga tingkat upah yang diterima tinggi, begitupun jika pendidikan individu rendah akan menyebabkan upah juga rendah (Jordahl, 2009).…”

Section: Pembahasanunclassified

Analisis Determinan Tingkat Upah di Sumatera Barat

Febryanti

Putri

2020

JKEP

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This study aims to determine: (1) The effect of employment status on wage levels in West Sumatra. (2) The effect of education level on wage levels in West Sumatra. (3) Effect of gender on wage rates in West Sumatra. This type of research is descriptive and associative research. The type of data used in this study is the 2018 National Labor Force Survey (SAKERNAS) in West Sumatra Province sourced from the Central Statistics Agency (BPS) of West Sumatra Province. The method used in this study is the Logistic Regression Analysis Method. The results of the study show that: (1) Employment status with an unspecified time agreement has a significant positive effect on wage levels in West Sumatra, a certain time agreement has a positive and significant effect on wage levels in West Sumatra and an oral agreement has a negative and not significant effect on wage levels in West Sumatra. (2) The level of education has a positive and significant effect on wage levels in West Sumatra. (3) Sex has a positive and significant effect on wage rates in West Sumatra. From the results of this study, it is recommended to the Government of the Province of West Sumatra to set a Provincial Minimum Wage (UMP) according to a decent standard of living and provide strict sanctions to companies both private or government institutions that do not pay labor wages in accordance with the Minimum Wage Provibsi (UMP) in West Sumatra. This is done to improve the welfare of workers in the Province of West Sumatra.

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“…The article will assess how instrumental variable can generate consistent estimates when studying structural holes and network connectivity as possible predictors of entrepreneurial performance. Recently there has been an increased interest in the use of instrumental variables in entrepreneurial research (Berkowitz & DeJong, 2005;Bitler, Moskowitz & Vissing-Jorgensen, 2005;De Mel, McKenzie & Woodruff, 2008;Garcia-Mainar & Montuenga-Gomez, 2005;Garmaise, 2008;Grilo & Thurik, 2008;Jordahl, Poutvaara & Tuomala, 2009;Nastav & Bojnec, 2008;Oosterbeek, van Praag & Ijsselstein, 2010;Parker & Van Praag, 2006;Rodriiguez-Gutieerrez, 2007;Samila & Sorenson, 2010, 2011Spohr, 2003;Waguespack & Fleming, 2009), but an explicit application on the topics covered in this article has not been found.…”

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confidence: 99%

Do Structural Holes and Network Connectivity Really Affect Entrepreneurial Performance?

Aarstad

2012

The Journal of Entrepreneurship

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Research shows that structural holes and network connectivity are associated with entrepreneurial performance. Yet the explanatory variables will tend to be correlated, and multicollinearity may skew the results. The use of instrumental variables can nevertheless generate reliable estimates. The methodology can also identify possible reverse causal orders. Here a network of rural entrepreneurs building their own hydroelectric micro-power plants is studied. The use of instrumental variables shows that structural holes and network connectivity have strong and additive effects on performance, and with a particular focus on rural entrepreneurs in developing countries, the findings' implications are discussed.

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Education returns of wage earners and self-employed workers: Comment

Cited by 7 publications

References 5 publications

Pengaruh Umur, Jenis Kelamin, Jam Kerja, Status Pekerjaan Dan Pendidikan Terhadap Pendapatan Tenaga Kerja Di Kota Padang

Pengaruh Umur, Jenis Kelamin, Jam Kerja, Status Pekerjaan Dan Pendidikan Terhadap Pendapatan Tenaga Kerja Di Kota Padang

Analisis Determinan Tingkat Upah di Sumatera Barat

Do Structural Holes and Network Connectivity Really Affect Entrepreneurial Performance?

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