Determinant Analysis of Open Unemployment Level in Banten Province, 2018 Using Panel Data Regression (original) (raw)

Analysis of Determinants of Unemployment Rate in Indonesia

JURNAL PERSPEKTIF EKONOMI DARUSSALAM, 2020

Solving the unemployment issue is one of the best ways to reduce poverty. Through the provision of job opportunities, the poverty rate can be reduced. Therefore, this research explores the factors that influence the unemployment rate across 34 provinces over the 2015-2018 period using the panel regression technique. The variable used consisting of economic growth, the percentage of people with IT competence, and the average school duration. This study indicates that the unemployment rate can be reduced by increasing the average school duration. Meanwhile, the level of economic growth and the proportion of people with IT competence have an insignificant influence on Indonesia's unemployment rate. Based on these findings, the government needs to ensure that every resident in its territory can receive an adequate education.

Analysis of the Impact of Economic Growth and Wages on Educated Unemployment in Indonesian Provincial Area

Proceedings of the First Multidiscipline International Conference, MIC 2021, October 30 2021, Jakarta, Indonesia, 2022

The high number of educated unemployed is one of the features of unemployment in Indonesia, however economic growth and earnings are increasing every year. This is troubling because, in theory, as the economy grows and incomes rise, unemployment should decrease, but it does not in practice. The motivation behind this examination is to investigate: 1) the effect of financial development on instructed joblessness, and 2) the effect of wages on taught joblessness. This form of study is done after the fact. The study focuses on 33 Indonesian provinces utilizing panel data. Documentation is a data collection tool. Panel data regression is used to test hypotheses. The findings of the study show something which: 1) Peconomic growth has a big negative impact on educated unemployment, 2) Wages have a significant positive impact on educated unemployment.

Open Unemployment Rate in The Province of East Java

The Winners, 2022

Economic development is basically a series of policy efforts that have the aim of increasing the standard of living of the people, directing income distribution, and expanding employment opportunities. In efforts to develop the economy, employment is still a major issue. This is due to inequality in getting job opportunities. The growth in the number of the workforce with progress in various economic sectors is not balanced. The research seeks to study the effect of gross regional domestic product (GRDP), provincial minimum wage (PMW) and inflation on the open unemployment rate in East Java province. The research uses secondary data for the period 2006-2017 which consists of the value of GRDP, East Java PMW, East Java province inflation, and East Java province open unemployment rate. By applying regression using panel data regression analysis, the research results show that GRDP and Inflation has a negative and significant effect on the open unemployment rate in East Java. The PMW has a positive and significant effect on the open unemployment rate in East Java Province. Nevertheless, the research highlights effect relation and government policy instruments.

Socio-Economic Indicators and its Implication on Unemployment: Empirical Study in Six Provinces in Indonesia

Journal of Economics and Sustainable Development

This study was aimed to analyze the influence of the primary sector of GRDP, secondary sector of GRDP, tertiary sector of GRDP, basic education graduates, middle education graduates, higher education graduates, male morbidity rate, female morbidity rate, and population growth on the unemployment rate in six provinces in Indonesia including Special Capital Region of Jakarta, West Java, Central Java, Special Region of Yogyakarta, East Java, and Banten Provinces. The data type of this study was secondary data for the period of 2009-2018 and cross data of the six provinces, whereas the data analysis technique used was panel data regression analysis. From the result, it was found that the basic education graduates and population growth on the significance level of 1 percent have a significant influence, while the secondary sector of GRDP, tertiary sector of GRDP, higher education, and the male morbidity rate were found to have a significant influence on the unemployment rate with the significant rate of 5 percent.

Investment and Unemployment Reduction: An Empirical Study of Indonesia using Panel Data Regression

2020

One of Indonesia's seven development agendas is the improvement of competitive human resources. Therefore, government concerns in reducing employment. Currently, one of the government's efforts to reduce unemployment is to increase investment in various regions. This study aims to identify the effect of investment realization to the unemployment in Indonesia by using provincial panel d ata from 2006 to 2018. Furthermore, investments in this study are divided into foreign and domestic direct investment. The panel data evaluation gives a result that Feasible Generalized Least Squares with Seemingly Unrelated Regression (FGLS-SUR) is a suitable estimation for the analysis. Based on the model, this study finds that both foreign and domestic direct investments give a significant effect in reducing unemployment. This study can be used as a recommendation for the government to increase investment, especially the domestic, as well as sectors that absorb labor to accelerate the economic wheel and reduce the unemployment simultaneously.

Analysis of the Effect of Unemployment Rate, RMW, and HDI on Poverty Rates in the Special Region of Yogyakarta

Journal of Economics Research and Social Sciences, 2021

Poverty is one of the most complex problems in a country's economy, including in a region. Therefore, efforts to reduce poverty must be carried out comprehensively. The purpose of this study was to analyze the effect of the unemployment rate, the Regional Minimum Wage (RMW), and the Human Development Index (IPM) on the poverty rate in the districts of Bantul, Sleman, Gunung Kidul, Kulon Progo, and the City of Yogyakarta in 2015-2019. The analytical method used is panel data regression random effect models (REM). This study indicates that the unemployment rate, regional minimum wage, and HDI simultaneously affect the poverty level. Partially, the unemployment rate is positively and not significantly correlated with the poverty rate.

Determinants of Unemployment: Empirical Evidences from 7 Province in Indonesia

The study investigates the economic growth, inflation, minimum wage and unemployment data for seven province in Indonesia between the years of 2004 to 2012. Reggression Analysis with SPSS 18 to examining the empirical relationship among the economic growth, inflation, minimum wage and unemployment. The results of the study reveal that while the economic growth and unemployment variables have unsignificant effects on the unemployment, the inflation and unemployment variables have positive and significant effects on unemployment, the minimum wage and unemployment variables have unsignificant effects on unemployment.

Analysis of Factors Affecting Unemployment Rate in Sumatera Utara Province

https://www.ijrrjournal.com/IJRR\_Vol.7\_Issue.9\_Sep2020/Abstract\_IJRR0016.html, 2020

Unemployment is a problem that becomes an obstacle to economic development. The decline in the unemployment rate in Sumatera Utara Province is still far from the target set by the government. This study aims to analyze investment, minimum wages, human development index, and inflation affecting the unemployment rate in Sumatera Utara Province. The research method used is multiple linear regression analysis and uses secondary data for the period 2011-2018 in the form of a quarter. The simultaneous test results from this study are investment; minimum wages, human development index, and inflation have a simultaneous and significant effect on unemployment rate in Sumatera Utara Province. The result of the partial test states that investment has a positive and insignificant effect of 0.006, minimum wages has a negative and significant effect of 1.384, human development index has a negative and significant effect of 8,273, inflation has a negative and significant effect of 0.088. This means that the increase in minimum wages, human development index and inflation will reduce unemployment rate in Sumatera Utara Province. It is recommended that the government pay more attention to policies related to minimum wages, the human development index and the inflation rate in order to increase employment in the economy.

Gross Domestic Product, Education, Unempoyment and Poverty: Evidence from South Sumatera Province, Indonesia

Jurnal Media Ekonomi (JURMEK), 2020

This study determine the effect of Gross Domestic Product (GDP), education level and unemployment rate on the poverty in the South Sumatra Province in year of 2013 – 2018. The method uses panel data analysis using Eviews program with combination time-series data and cross-section data using panel data through fixed effects Model. The data obtained from the Central Statistic Bureau of Indonesia. The results showed that the GDP variable and the education level are negative and significant effect on poverty in the South Sumatra Province, the unemployment level is positive and significant effect on poverty in the South Sumatra. The information and the policy considerations related parties to improve the system of growth and development in the South Sumatra especially, and Indonesia in general.

Analysis Effect of Human Development Index (HDI), Regency/City Minimum Wage (UMK), Investment and Unemployment Rate on the Number of Poor People in Bali Province in 2012-2021

Wiga : Jurnal Penelitian Ilmu Ekonomi

This study aims to analyze the effect of the human development index (HDI), regency/city minimum wage (UMK), investment and unemployment rate on the number of poor people in Bali Province in 2012-2021. The analysis tool used is panel data regression. Panel data is a combination of time series and cross sections. Research data in the form of secondary data includes the human development index(HDI), regency/city minimum wage(UMK), investment, unemployment rate and the number of poor people obtained from the Central Statistics Agency (BPS). The results showed that the best model chosen was the fixed effect model (FEM). Based on the analysis of the FEM model, it shows that the human development index, the regency/city minimum wage affects the number of poor people in Bali province in 2012-2021. Meanwhile, investment variables and unemployment rate do not affect the number of poor people in Bali province. The coefficient of determination 0,9429 means that 94,29% of the variable variation...