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

2021 ◽  
Vol 5 (2) ◽  
pp. Layouting
Author(s):  
Yolanda Oktaviani ◽  
Indanazulfa Qurrota A'yun
Keyword(s):  
Minimum Wage ◽  
Unemployment Rate ◽  
Random Effect ◽  
Poverty Rate ◽  
Poverty Level ◽  
Panel Data Regression ◽  
Data Regression ◽  
The City ◽  
Random Effect Models ◽  
Special Region

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.

Tingkat Kemiskinan di Sumatra Selatan dan Analisisnya

2020 ◽  
Vol 8 (2) ◽  
pp. 127-133
Author(s):  
Doni Putra ◽  
Rifki Khoirudin
Keyword(s):  
Research Method ◽  
Random Effect ◽  
Random Effect Model ◽  
Poverty Rate ◽  
Variable Number ◽  
Regression Method ◽  
Poverty Level ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the factors that affect the poverty rate of regencies / cities in South Sumatra Province in 2011 to 2017. In this study the factors that affect poverty rates are related to unemployment, HDI, MSE, and population. The research method used is the panel data regression method using the help of Eviews software. The final thanks is the Random Effect Model. The results of this study are the variable Number of Population has a significant effect on the level of poverty in the District / City in South Sumatra Province. However, the Unemployment Rate Variable, HDI, and UMK were not significant to the poverty level in the regencies / cities in South Sumatra Province.

scholarly journals ANALISIS PENGARUH JUMLAH PENDUDUK, PENDIDIKAN, UPAH MINIMUM DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP JUMLAH PENGANGGURAN DI KABUPATEN DAN KOTAPROVINSI JAWA TIMUR TAHUN 2010-2014

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Trianggono Budi Hartanto
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Minimum Wage ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Population Education ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

AbstractThis research aims to analyze the impact of variable population, education (Means Years School), minimum wage and gross domestic regional product on unemployment in district and cities East Java from 2010 to 2014. The analytical method used panel data regression (pooled data) with the Random Effect Model approach. Results of panel data regression analysis in this research showed population, education (means years school), minimum wage and regional gross domestic product is simultaneously significant positive effect on unemployment in distric and cities East Java. Partially, population, education (means year school) and regional gross domestic product is significant and positive impact on unemployment, while minimum wage has no significant impact on unemployment in distric and cities East Java. Keywords : Unemployment,  Population,  Education,  Minimum  Wage,  Gross Domestic Regional Bruto (GDRP) Research Area: District and City East Java

scholarly journals MODEL REGRESI DATA PANEL UNTUK MENGETAHUI FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI PULAU MADURA

2020 ◽  
Vol 9 (3) ◽  
pp. 355-363
Author(s):  
Artanti Indrasetianingsih ◽  
Tutik Khalimatul Wasik
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Series Data ◽  
Poverty Level ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Poverty arises when a person or group of people is unable to meet the level of economic prosperity which is considered a minimum requirement of a certain standard of living or poverty is understood as a state of lack of money and goods to ensure survival. Panel data regression is the development of regression analysis which is a combination of time series data and cross section data. Panel data regression is usually used to make observations of data that is examined continuously for several periods. The purpose of this study is to determine the factors that influence the level of poverty in Madura Island in the period 2008 - 2017. In this study the variables used in this study are life expectancy (X1), average length of school (X2), level open unemployment (X3), and labor force participation (X4) with the Comman Effect Model (CEM) approach, Fixed Effect Model and Random Effect Model (REM). To choose the best model from the three is the chow test, the hausman test and the breusch-pagan test. In this study, the best model chosen was the Fixed Effect Model. Keywords: CEM, Fixed Effect Model, Data Panel Regression, REM, Poverty level.

scholarly journals Model Regresi Data Panel Pada Kasus Infeksi Saluran Pernapasan Akut (ISPA) di Provinsi Nusa Tenggara Timur

2021 ◽  
pp. 49-56
Author(s):  
Indah Magfirrah Jamaludin ◽  
Astri Atti ◽  
Maria A. Kleden
Keyword(s):  
Exclusive Breastfeeding ◽  
Random Effect ◽  
Coefficient Of Determination ◽  
Response Variable ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Number Of Patients ◽  
Outlier Data ◽  
Random Effect Models

Acute respiratory infection (ARI) is an infectious desease cause by bacteria or viruses that attack the respiratory organs. This research aims to determine the best panel data regression model in the case of the factors that influence the number of patients with ARI in East Nusa Tenggara Province from 2014 to 2018. Response variable used is the number of ARI patients. Independent variables were observed among others, low birth weight, malnutrition, immunization, exclusive breastfeeding, and vitamin A in 22 districts or city in East Nusa Tenggara. The results showed that the Random Effect Models eliminate outlier data on response variable is a model that can describe the influence of independent variables on the number of patients with ARI in East Nusa Tenggara Province from 2014 to 2018. Variables that influence of ARI are malnutrition and exclusive breastfeeding with a coefficient of determination (R) of 9,2%.

scholarly journals Faktor–faktor yang mempengaruhi inflasi Provinsi-Provinsi di Sumatera

2019 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Lailan Syafrina Hasibuan ◽  
Rahma Nurjanah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

This study aims to: 1) analyze inflationary developments, road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra; 2) analyze the influence of road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra. This research uses a descriptive analysis method to determine the development of each research variable and quantitative methods using panel data regression approach random effect. Based on the descriptive analysis of inflationary development, road infrastructure stagnated, government spending, provincial minimum wage, and economic growth was increased every year. The regression of panel data with random effect approach variable of the provincial minimum wage has a positive and significant influence on the inflation of provincial in Sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra. Keywords: Inflation, Government spending, Economic growth.

scholarly journals Agglomeration and Economic Growth in the Special Region of Yogyakarta (2005-2016)

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Wahyu Dwi Artaningtyas ◽  
Asih Sri Winarti ◽  
Jamzani Sodik
Keyword(s):  
Economic Growth ◽  
Estimation Method ◽  
Economic Activities ◽  
Poverty Level ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Surrounding Areas ◽  
Positive Effect ◽  
Special Region

The economic growth of the Special Region of Yogyakarta (Daerah Istimewa Yogyakarta or DIY) surrounding areas is naturally originated from agglomeration which was driven by the spatial concentration of economic activities including the aspects of space, community level, city scale, and region. This study aims to determine the development and linkages between production agglomeration and population agglomeration to the economic growth that occurs in DIY. The approach used is the estimation method of fixed effect panel data regression using DIY city/regency administration data in 2005-2016.The results showed that population agglomeration had a significant and positive effect on economic growth, while production agglomeration had no effect on economic growth in model I. Whereas in model II, it is known that production and population agglomeration affected economic growth, labor force negatively affected growth, and unemployment positively and significantly affected economic growth. On the other hand, the poverty level and HDI variables have a negative effect on economic growth. Cities/regencies that have a positive fixed cross effect on economic growth are Sleman, Gunungkidul, and Kulonprogo Regency, while Yogya City and Bantul Regency show a negative sign.

scholarly journals The Impact of Unemployment and Human Development Index on Poverty in Gorontalo Province 2008-2017

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Lian A Yusuf ◽  
Sri Indriyani Dai
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Development Index ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

This research aims to analyze the impact of unemployment rate and human development index on poverty in Regecies and City in Gorontalo Province. This research uses Panel Data Regression analysis with fixed effect model (FEM). This research uses regional datasets from the Registration Management Information System (SIMREG) and datasets from Central Statistics Bureau (BPS) during 2008-2017. Main findings of this research indicates that (i) unemployment rate has positive but insignificant impact on poverty rate; (ii) human development index has positive and significant impact on poverty rate. Keywords: Unemployment Rate; Human Development Index (HDI); Poverty.

scholarly journals ANALISIS PENGARUH PERTUMBUHAN EKONOMI, UPAH MINIMUM DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP TINGKAT PENGANGGURAN DI PROVINSI JAWA TIMUR TAHUN 2008-2014

2014 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Muhammad Nurcholis
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Analysis Model ◽  
Development Index ◽  
Panel Data Regression ◽  
Data Regression

In this study, the expected goal is to determine the distribution, classification and influence economic growth, minimum wage, and the Human Development Index of the level of unemployment in East Java Province 2008-2012. This research uses descriptive quantitative research methods. Data analysis in accordance with the formulation of the problem and the purpose of the study is using panel data regression analysis model and using the classification of the intensity and GIS. Based on panel data regression results show that perumbuhan economy, the minimum wage and the human development index have a significant effect on the unemployment rate. Variable economic growth and the negative effect of minimum wages, while the human development index positive effect. As for testing the F calculation, economic growth, the minimum wage and the human development index have a significant effect on the unemployment rate.

scholarly journals Pengaruh pertumbuhan ekonomi, upah minimum dan jumlah tenaga kerja terhadap kemiskinan di Kota Jambi Tahun 2000 – 2017

2019 ◽  
Vol 8 (1) ◽  
pp. 12-25
Author(s):  
Fahrur Rozi ◽  
Yulmardi Yulmardi ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Linear Regression ◽  
Minimum Wage ◽  
Poverty Rate ◽  
Analytical Tool ◽  
Minimum Wages ◽  
Poverty Level ◽  
Independent Variables ◽  
The City ◽  
Poverty Levels

This study aims to: 1) Know and analyze the development of economic growth, minimum wages, number of workers and poverty levels in Jambi City; and 2) To find out and analyze the influence of economic growth, minimum wages and the number of workers and poverty levels in Jambi City. The analytical tool used in this study is multiple linear regression.The results of this study are that economic growth in Jambi City experienced fluctuations during 2000-2017. The minimum wage in the city of Jambi has increased annually during 2000-2017. Labor in Jambi City experienced fluctuations during 2000-2017. The poverty rate in Jambi City experienced annual fluctuations during 2000-2017. From the results of the processed multiple linear regression that the variable economic growth, minimum wage, labor simultaneously have a significant effect on the level of poverty, it can be seen from the significant value of 0.002 which is smaller than 0.05. While partially the independent variables that influence the poverty level are minimum wages and labor, it can be seen from the significant values ​​smaller than 0.05. Keywords: Economic Growth, Minimum Wage, Number of Labor, and Poverty Levels.

scholarly journals Faktor–Faktor yang Mempengaruhi Inflasi Provinsi di Sumatera

2020 ◽  
Vol 5 (2) ◽  
pp. 309
Author(s):  
Siswoyo Siswoyo ◽  
Asrini Asrini
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

The purpose of this study is to know and analyze inflationary developments, road infrastructure, government spending, provincial minimum wage and economic growth provincial in Sumatra. know and analyze the influence of road infrastructure, government spening, provincial minimum wage and economic growth provincial in Sumatra. This research uses descriptive analysis method to know the development of each research variables and quantitative methods by using panel data regression approach random effect. Based on the results of descriptive analysis of inflationary development fluctuate, road infrastructure stagnated and government spending,provincial minimum wage and economic growth incresed every year. While the result of regression of panel data with random effect approach variable of provincial minimum wage have positive and significant influence to inflation of provincial in sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra.

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