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THE IMPACT OF MINIMUM WAGE ON YOUTH EMPLOYMENT Sitompul, Thomson

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Unlike the previous study in the minimum wage, which focused on total employment and economic sector, this paper examine its effect on one demographic variable (age) by comparing covered youth employment using cross tabulation of the status and type of job and using job status only. The aim of this study is to analyze the impact of minimum wages on youth employment in Indonesia. We analyze the impact on covered youth wemployment and total youth employment. This study contributes to the limited literature on youth employment as the impact of minimum wage in developing countries, especially in Indonesia. Using cross section distric data from the 2015 on OLS method of regression, we find that the districts/cities that have a higher district minimum wage has lower covered youth employment and total youth employment. Cross tabulation used is more representative than job status to show the impact of minimum wage on covered youth employment. Ignoring cross tabulation of the status and type of job used seriously underestimates the size of covered youth emplyoment. The impact of minimum wage on covered youth employment using cross tabulation is higher than job status used. The higher the district minimum wage, the lower the covered youth employment. Surprisingly, the minimum wages reduced covered youth employment significantly more than total employment.

Impact of Minimum Wage on Youth Employment Thomson Sitompul
Journal of Accounting and Management Innovation Vol 6 No 1 (2022)
Publisher : Universitas Pelita Harapan Medan Campus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Unlike the previous study in the minimum wage, which focused on total employment and economic sector, this paper examine its effect on one demographic variable (age) by comparing covered youth employment using cross tabulation of the status and type of job and using job status only. The aim of this study is to analyze the impact of minimum wages on youth employment in Indonesia. We analyze the impact on covered youth wemployment and total youth employment. This study contributes to the limited literature on youth employment as the impact of minimum wage in developing countries, especially in Indonesia. Using cross section distric data from the 2015 on OLS method of regression, we find that the districts/cities that have a higher district minimum wage has lower covered youth employment and total youth employment. Cross tabulation used is more representative than job status to show the impact of minimum wage on covered youth employment. Ignoring cross tabulation of the status and type of job used seriously underestimates the size of covered youth emplyoment. The impact of minimum wage on covered youth employment using cross tabulation is higher than job status used. The higher the district minimum wage, the lower the covered youth employment. Surprisingly, the minimum wages reduced covered youth employment significantly more than total employment.

Impact of Minimum Wage on Youth Employment Thomson Sitompul
Journal of Accounting and Management Innovation Vol 6 No 1 (2022)
Publisher : Universitas Pelita Harapan Medan Campus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Unlike the previous study in the minimum wage, which focused on total employment and economic sector, this paper examine its effect on one demographic variable (age) by comparing covered youth employment using cross tabulation of the status and type of job and using job status only. The aim of this study is to analyze the impact of minimum wages on youth employment in Indonesia. We analyze the impact on covered youth wemployment and total youth employment. This study contributes to the limited literature on youth employment as the impact of minimum wage in developing countries, especially in Indonesia. Using cross section distric data from the 2015 on OLS method of regression, we find that the districts/cities that have a higher district minimum wage has lower covered youth employment and total youth employment. Cross tabulation used is more representative than job status to show the impact of minimum wage on covered youth employment. Ignoring cross tabulation of the status and type of job used seriously underestimates the size of covered youth emplyoment. The impact of minimum wage on covered youth employment using cross tabulation is higher than job status used. The higher the district minimum wage, the lower the covered youth employment. Surprisingly, the minimum wages reduced covered youth employment significantly more than total employment.

ECONOMIC AND SOCIAL IMPACT OF MIGRATION Thomson Sitompul
Journal of Accounting and Management Innovation Vol 7 No 1 (2023): Journal of Accounting and Management Innovation
Publisher : Universitas Pelita Harapan Medan Campus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jam.v7i1.597

The previous study in the migration topic was focused to see its impact to the economic and social scope only to the origin country. The purposes of this study are to know how does international migration impact the economic aspects of origin country and destination country and how does international migration impact the social aspects of the origin country and destination country. The data in this study are based on books and journals that are relevant to the author's research. The data analysis technique used in this study is qualitative data analysis where in this study the opinions expressed by experts regarding instructional media are used as a basis for strengthening the author's arguments in analyzing the effects of migration on the economy and social. The economic impact to the country of origin can be seen through remittances while to the destination country can be seen through GDP, unemployed migrants and competition in looking for work. The social impact to the country of origin can be seen through by the migrant families who are left behind, which causes the psychological cost while to the destination country can be seen through the integration of migration.

ECONOMIC AND SOCIAL IMPACT OF MIGRATION Thomson Sitompul
Journal of Accounting and Management Innovation Vol 7 No 1 (2023): Journal of Accounting and Management Innovation
Publisher : Universitas Pelita Harapan Medan Campus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jam.v7i1.597

The previous study in the migration topic was focused to see its impact to the economic and social scope only to the origin country. The purposes of this study are to know how does international migration impact the economic aspects of origin country and destination country and how does international migration impact the social aspects of the origin country and destination country. The data in this study are based on books and journals that are relevant to the author's research. The data analysis technique used in this study is qualitative data analysis where in this study the opinions expressed by experts regarding instructional media are used as a basis for strengthening the author's arguments in analyzing the effects of migration on the economy and social. The economic impact to the country of origin can be seen through remittances while to the destination country can be seen through GDP, unemployed migrants and competition in looking for work. The social impact to the country of origin can be seen through by the migrant families who are left behind, which causes the psychological cost while to the destination country can be seen through the integration of migration.

THE EFFECT OF MINIMUM WAGES ON YOUNG WORKERS IN THE FORMAL SECTOR Thomson Sitompul
Soedirman Economics Education Journal Vol 5 No 1 (2023)
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/seej.v5i1.8299

In contrast to previous studies regarding the impact of minimum wages which only focused on total workers and the economic sector and the use of employment status to form formal workers, this study analyzed the effect of minimum wages on one of the demographic variables namely youth by comparing the formation of formal workers using cross tabulation of status and type of work and formation of formal workers by using job status only. The purpose of this research is to analyze the impact of the minimum wage on young formal workers in Indonesia. This study describes that the difference in the high percentage of young formal workers supports the research objective that it is important to compare the impact of the minimum wage on the two categories. Using the 2015 SAKERNAS cross section data and the OLS regression method the impact of the minimum wage on young formal workers using cross-tabulations is higher than the impact of the minimum wage on young formal workers using only employment status. The minimum wage reduces formal youth employment (either by cross-tabulation or by status alone) significantly. Ignoring the use of cross-tabulations between status and type of work can lead to underestimates in the percentage of young formal workers so that the use of cross-tabulations is more representative in showing the effect of minimum wages on young formal workers compared to using employment status alone

Indeks Pembangunan Manusia dan Total Aset Terhadap Kondisi Ekonomi Masyarakat Hurian Kamela; Thomson Sitompul; Erni Yulianti; Devi Mulyanti; Hendri Kartika Andri
JURNAL EKONOMI, BISNIS DAN HUMANIORA Vol 2 No 1 (2022): Ekonomi Bisnis dan Humaniora
Publisher : Universitas Tangerang Raya

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There is still limited research on the development of local government conditions, namely economic development in the province. The measurement of the economic condition of the community uses the Human Development Index (HDI) score from the Central Statistics Agency (BPS). The purpose of this study is to provide empirical evidence regarding the relationship between HDI, total assets and the economic condition of the community. The study was based on a sample of 69 cities and regencies in 3 provinces, namely Aceh, North Sumatra and West Sumatra. The reason this sample is studied is to provide a comparison of economic conditions that occurred in 2016. The research method uses regression. The dependent variable is Economic Condition. The independent variables are the Human Development Index (HDI) and total assets. The results of the study are (1) HDI does not affect the economic condition of the community, (2) Total assets have an effect on the economic condition of the community. These results provide an explanation that the Human Development Index (HDI) is not all related to the economic welfare of a region, when the HDI is high it means that the economic capacity is not necessarily considered to be improving, while the number of assets owned by the City/Regency affects the economic condition of the community. The research contribution is to provide empirical evidence that the economic condition of a region does not depend on the progress of the region, but in accordance with the welfare conditions of each region.

Analysis of Labor Market Dynamics in Indonesia (1986-2012) Thomson Sitompul
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 5 (2024): Journal of Economic, Bussines and Accounting (COSTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i5.11167

The researcher provides new evidence from Badan Pusat Statistik and International Labor Organization data on how labor market dynamics vary in labor market in Indonesia based on the ILO publication, 17 Key Indicators of the Labor Market 2015, which shows statistics on the main indicators in the dynamics of the labor market. Result shows that In Indonesia, the LFPR (Labor Force Participation Rate) for young people (15-19) is relatively low and reaches a peak among men (20-29) and then begins to decline substantially for older people (60+). Japan, as a developed country that is still in the Asian region, has a 2017 LFPR of 60.21%, this is because LFPR is the percentage of the labor force to the working age population. The total population of Indonesia aged 15 years and over is higher than Japan. In Indonesia, based on the number of people working in the sector, for the period 1986 to 2016, the agricultural sector is the most volatile sector. The highest proportion of informal employment in the non-agricultural sector is experienced by those with low education and the lowest is experienced by university graduates. Compared to Laos, Thailand and Cambodia as neighboring countries and developing countries, Indonesia is the country with the highest unemployment rate. Over the period 1991 to 2017, youth unemployment rates increased sharply for both men and women. The characteristics of unemployment in Indonesia based on unemployment show that the unemployed with high education (ILO concept: Intermediate and Advanced) are higher than the unemployed with low education (basic education).

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