This research describes the relation between variables of population, inflation, minimum wage, economic growth, and humandevelopment index toward the unemployment rate in Jember. The type of data used in this research was secondary data in theform of ‘time series’ obtained from Jember Department of Labor and Central Bureau of Statistics in the year of 2002-2013.The research method was a kind of statistical descriptive analysis and multiple linear regression analysis. Moreover, theresearcher used partial test (T-test), simultaneous test (F-test), and coefficients determination test (R2) for the hypothesis.Whereas the assumption test was conducted in the use of normality, multicollinearity, heteroscedasticity, and autocorrelationtest. From the result of the data analysis, it confirmed that the population positively and significantly affected theunemployment rate in Jember. The variables of inflation, minimum wage, and human development index negatively andsignificantly affected the unemployment rate in Jember. Whereas the variables of economic growth positively and significantlyaffected unemployment rate in Jember. Finally, the result of the data analysis highlighted the variables of population,inflation, minimum wage,economic growth, and human development index that simultaneously and significantly affectedunemployment rate in Jember.
AbstrakPengangguran merupakan masalah yang kompleks karena mempengaruhi sekaligus dipengaruhi oleh banyak faktor yang saling berinteraksi mengikuti pola yang tidak mudah untuk dipahami. Masalah pengangguran merupakan salah satu akibat dari adanya fenomena ekonomi yang terjadi. Besarnya angka pengangguran dapat dipengaruhi oleh beberapa indikator antara lain besarnya upah yang berlaku, PDRB, dan tingkat inflasi. Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar pengaruh PDRB, Upah Minimum Provinsi dan tingkat inflasi terhadap pengangguran terbuka di setiap provinsi di Pulau Jawa Tahun 2007-2016. Metode analisis yang digunakan adalah model regresi data panel dengan menggunakan pendekatan Fixed Effect Model (FEM). Hasil regresi data panel menunjukkan secara simultan bahwa variabel variabel independen PDRB, Upah Minimum Provinsi, dan inflasi berpengaruh signifikan terhadap variabel dependen tingkat pengangguran terbuka. Hasil analisis uji parsial menunjukkan bahwa PDRB memiliki pengaruh signifikan, Sedangkan Upah Minimum Provinsi dan Inflasi memiliki pengaruh yang tidak signifikan terhadap tingkat pengangguran terbuka periode tahun 2007-2016. Total variasi tingkat pengangguran terbuka di provinsi Pulau Jawa mampu dijelaskan oleh variabel-variabel independen PDRB, UMP dan inflasi sebesar 93,35%. AbstractUnemployment is a complex problem because it's affecting and influenced by many factors that interact with each other following patterns that are not easy to understand. The problem of unemployment is the one result of the existence of economic phenomena that occur. The rate of unemployment can be influenced by several indicators, such as the amount of prevailing wage, The GDP, and inflation rate. The aim of this research is to know how big influence of the GDP, Province Minimum Wage and inflation rate on open unemployment in every province in Java Island Year 2007-2016. The method analysis of this research using Panel data with using Fixed Effect Model (FEM) approach. The result of panel data regression showed simultaneously that the variables of tghe GDP, Province Minimum Wage, and inflation have significant, The result of partial test analysis showed that The GDP has significant influence, while province Minimum Wage and inflation have a negative and insignificant on open unemployment Rate in Java Island period 2007-2016. The total variation in open unemployment rate in Java Island province can be explained by independent variables of PDRB, UMP and inflation at 93.35%.
One of the factors that can create a successful economic development in each country is the absorption of labor. The high absorption of labor will reduce poverty and increase economic growth. Thus, the government of each country is no exception, Indonesia is also carrying out reforms related to labor issues. The purpose of this study is to determine the factors that influence employment in East Java Province in 2010-2017. The variables used in this study are employment, wages, population and Gross Regional Domestic Product (GRDP). The data used in this study is panel data. The analysis tool used is panel data regression analysis. The results in this study using the model fixed effect are the variables of labor, wages, population and Gross Regional Domestic Product (GRDP) affecting employment in East Java. The policy recommendations carried out are programs to improve the quality and productivity of the workforce, programs for expanding and placing workers, developing industrial relations and sharia work programs and labor inspection and labor protection programs.
RGDP is the total of all goods and services value which produced by all economics unit within a region. This study aims to determine the causality’s direction between government budget and RGDP, investment and RGDP, labor and RGDP, using panel data on RDU Jember and its regional area during 2000– 2014. The Granger causality test is used to identify the direction of the relationship between the variable between government budget and RGDP, investment and RGDP, labor and RGDP. The result of this study showed that there is a causal relationship between variables.Keywords: Granger causality, RGDP, government budget, investment, and labor
International migration by Indonesian Migrant Workers (PMI) not only has a positive impact on improving the economic conditions of PMI families but also contributes to developing the country's economy through PMI remittances. This study aims to determine the effect of Unemployment, minimum wages, poverty, and human development index on international migration of Indonesian Migrant Workers (PMI) on the island of Java. This study uses secondary data in the form of panel data, with time-series data (2010 - 2019) and cross-section data (6 provinces on Java island). The data analysis method uses a panel data regression with the Common Effect Model (CEM) approach. Statistical tests use simultaneous tests, partial tests, and the coefficient of determination. This study uses the classic assumption test, the multicollinearity test, the heteroscedasticity test, and the normality test. The study results concluded that simultaneously Unemployment, minimum wages, poverty, and the human development index had a significant effect on international migration. Partially, Unemployment and poverty have a positive and significant impact, minimum wages have a negative and significant effect, while the human development index has a positive and not significant effect on international migration.
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