scholarly journals PENERAPAN METODE GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) PADA KASUS KEMISKINAN DI INDONESIA

2021 ◽  
Vol 15 (2) ◽  
pp. 241-248
Author(s):  
Shantika Martha ◽  
Yundari Yundari ◽  
Setyo Wira Rizki ◽  
Ray Tamtama
Keyword(s):  
Agricultural Sector ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Poor People ◽  
Panel Regression ◽  
Factors Affecting ◽  
The Poor ◽  
The People ◽  
Effect Model ◽  
Adaptive Kernel

To analyze the factor affecting poverty during several periods by considering some geographical factors, we can use a geographically weighted panel regression (GWPR) method. GWPR is a combination of the geographically weighted regression (GWR) model and the panel regression model. The research conducts to identify the factors affecting the percentage of poor people in 34 provinces in Indonesia during 2015-2019. The results show that a suitable GWPR model is a fixed-effect model (FEM) with an exponential adaptive kernel function. Referring to the model, the province is divided into four groups based on variables having a significant effect on the percentage of poor people. That factors causing the poor people percentage in Indonesia are the poor people percentage aged above 15 years old and unemployment, the people percentage aged above 15 years old and employed in the agricultural sector, the literacy rate of the poor aged between 15 to 55 years old, and the life expectancy rate. Keywords: fixed effect model, exponential adaptive kernel.

scholarly journals THE FINANCIAL PERFORMANCE OF MANUFACTURING COMPANIES IN IDX AND SOME FACTORS THAT INFLUENCE

2021 ◽  
Vol 19 (2) ◽  
pp. 354-362
Author(s):  
Ichsan Ichsan ◽  
◽  
Ira Silvia ◽  
Mahdawi Mahdawi ◽  
Ghazali Syamni ◽  
...  
Keyword(s):  
Financial Performance ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Dominant Factor ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Industrial Sectors ◽  
Effect Model ◽  
Study Results ◽  
Equity Ratio

This study aims to examine some factors affecting the financial performance of manufacturing companies in the Indonesia Stock Exchange (IDX). This research uses data on the financial statements of 20 manufacturing companies listed on IDX in the period 20132017 and carried out share distribution facilities for their employees. This research model is a panel regression model done by testing the common effect model, fixed-effect model, and random effect model. Based on the Chow test and Hausman test, it is found that the best model in this study is the fixed effect model. The study results find that dividend policy, a share giving program to employees, and debt to equity ratio are significant factors affecting the financial performance of manufacturing companies in Indonesia. From these three factors, the debt to equity ratio is the dominant factor determining the financial performance of manufacturing companies, while investment decision does not significantly affect it. Future research studies can be carried out by focusing on other industrial sectors such as the Jakarta Islamic Index 70 and adding other macroeconomic variables.

scholarly journals PENGARUH TINGKAT PENDIDIKAN, INVESTASI, DAN TINGKAT UPAH TERHADAP ANGKATAN KERJA YANG AKTIF BEKERJA DI INDONESIA

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 691
Author(s):  
Vivi Violita Firda ◽  
Syamsul Amar
Keyword(s):  
Secondary Data ◽  
Work Force ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Education Level ◽  
Fixed Effect ◽  
Panel Regression ◽  
Effect Model ◽  
Positive Effect ◽  
Level 2

This study aims to find out and analyze the influence of (1) Education Level, (2) Investment, and (3) Wage Levels on the workforce that is actively working in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) Education Level has a positive and significant effect on the workforce that is actively working in Indonesia, (2) Investment has a positive and not significant effect on the workforce that is actively working in Indonesia, (3) Wage Levels have a positive and significant effect on workforce that is actively working in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 32 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) Education Level has a positive and significant effect on the Active Work Force in Indonesia (2) Investment has a positive effect and has no significant effect on the Active Work Force in Indonesia. (3) Wage Levels have a positive and significant effect on the Active Work Force in Indonesia. Keywords: Labor Force, Education Level, Investment, and Wage Level

scholarly journals The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data

2018 ◽  
Vol 73 ◽  
pp. 12006
Author(s):  
Budi Warsito ◽  
Hasbi Yasin ◽  
Dwi Ispriyanti ◽  
Arief Rachman Hakim
Keyword(s):  
Regression Model ◽  
Weighting Function ◽  
Weighted Least Squares ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Local Linear Regression ◽  
Coefficient Of Determination ◽  
Panel Regression ◽  
Standard Index ◽  
Effect Model

Geographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Model (FEM). Parameter estimation in GWPR is obtain by Weighted Least Squares (WLS) methods and the resulting model for each location will be different from one to another. This study will compare the fixed-effect GWPR model with several weighting functions. The best model is determined based on the biggest coefficient of determination (R2) value. In this study, the model is applied in the Air Polluter Standard Index (APSI) in Surabaya City, East Java. The results of this study indicate that Fixed Effect GWPR model with a fixed exponential kernel weighting function is the best model to describe the APSI because it has the smallest AIC.

scholarly journals PENGARUH KINERJA EKONOMI, INVESTASI DAN UPAH TERHADAP PENYERAPAN TENAGA KERJA SEKTOR PERTANIAN DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Berryl Belmondo ◽  
Mike Triani
Keyword(s):  
Panel Data ◽  
Economic Performance ◽  
Agricultural Sector ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Analysis Method ◽  
Effect Model

Abstract : This study aims to analyze the effect of (1) performance on labor absorption inthe agricultural sector in Indonesia. (2) investment in the absorption of labor in theagricultural sector in Indonesia. (3) agricultural sector labor wages in Indonesia. (4)jointly influence the economic performance, investment and labor wages in theagricultural sector in Indonesia. This type of research is descriptive and associativeresearch. The type of data used is panel data for 2011-2018 in 34 provinces in Indonesia.The analysis method used is the panel data method with the selected panel regressionmodel, namely the Fixed Effect Model (FEM.) The results of the study show that: (1)performance has a positive and significant effect on labor absorption in the agriculturalsector in Indonesia (2) investment has a negative and significant effect the absorption oflabor in the agricultural sector in Indonesia. (3) wages have a positive and significanteffect on employment in the agricultural sector in Indonesia. Taken together, economicperformance, investment and have a significant effect on employment in the agriculturalsector in Indonesia.Keywords: Agricultural Sector Labor Absorption, Economic Performance, Investment,Wage.

scholarly journals PENGARUH TINGKAT PENDIDIKAN, PENGANGGURAN , DAN KEMISKIAN TERHADAP KRIMINALITAS DI INDONESIA

2019 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Suci Rahmalia ◽  
Ariusni Ariusni ◽  
Mike Triani
Keyword(s):  
Panel Data ◽  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Fixed Effect ◽  
Regression Equation ◽  
Panel Regression ◽  
Level Of Education ◽  
Effect Model

This study aims to determine and analyze the influence of (1) Level of Education, (2) Unemployment, and (3) Poverty against crime in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) the level of education has a negative and not significant effect on criminality in Indonesia, (2) unemployment has a negative and significant effect on crime in Indonesia, (3) poverty has a positive and significant influence on crime in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 31 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) The level of education has a negative and insignificant influence on crime in Indonesia, (2) Unemployment has a negative and significant effect on crime in Indonesia, (3) Poverty has a positive and significant influence on crime in Indonesia.

scholarly journals PENGARUH BELANJA KESEHATAN TERHADAP ANGKA HARAPAN HIDUP KABUPATEN KOTA DI JAWA BARAT

2019 ◽  
Vol 11 (1) ◽  
pp. 117
Author(s):  
Estro Dariatno Sihaloho
Keyword(s):  
Life Expectancy ◽  
Health Expenditure ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Poor People ◽  
West Java ◽  
Model Estimate ◽  
Effect Model

This paper has two objectives. The first is to estimate the effect of health expenditure on life expectancy in regencies and cities in West Java Provinces. The second is to estimate the effect of the number of poor people on life expectancy in regencies and cities in West Java Provinces. Life expectancy is a measurement of the average time of human lives. This paper uses three-technique of Data Panel regression model:  Pooled OLS, Fixed Effect Model and Random Effect Model. This paper uses Data Panel on 27 Regencies and Cities in West Java Provinces from 2014 to 2016. This paper use Life expectancy as the dependent variable, health expenditure and number of poor people as the independent variable. The result shows that Pooled OLS, Fixed Effect Model and Random Effect Model estimate the health expenditure has a positive and significant effect on life expectancy in regencies and cities in West Java Provinces. Pooled OLS and Random Effect Model technique estimate number of poor people has a negative and significant effect on life expectancy in regencies and cities in West Java Provinces.

DAMPAK KEBIJAKAN FISKAL TERHADAP KINERJA SEKTOR PERTANIAN DI SULAWESI TENGGARA

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
La Ode Jabuddin ◽  
Ayub M Padangaran ◽  
Azhar Bafadal Bafadal
Keyword(s):  
Fiscal Policy ◽  
Interest Rates ◽  
Agricultural Sector ◽  
Simultaneous Equations ◽  
Poor People ◽  
Land Area ◽  
Factors Affecting ◽  
Historical Simulation ◽  
The Impact ◽  
Direct Expenditure

This study aims to: (1) Knowing the dynamics of fiscal policy and the performance of the agricultural sector, (2) Analyze the factors that influence fiscal policy and the performance                   of the agricultural sector, and (3) Analyzing the impact of fiscal policy on the performance of the agricultural sector. The data used in this study were pooled 2005-2013 data in the aggregate. Econometric model the impact of fiscal policy on the performance of the agricultural sector is built in the form of simultaneous equations, consisting of 7 equations with 25 total variables in the model, 7 endogenous variables, 12 exogenous variables, and 6 variables lag. The model is estimated by 2SLS method SYSLIN procedures and historical simulation with SIMNLIN procedure.The results showed that: (1) The development of fiscal policy in Southeast Sulawesi from year to year tends to increase, (2) The performance of the agricultural sector from the aspect of GDP has decreased, from the aspect of labor is still consistent, in terms of investment to grow positively, and assign roles which means to decrease the number of poor people, (3) factors affecting fiscal policy is local revenues, equalization funds, other revenues, as well as the lag fiscal policy, (4) the factors that affect the performance of the agricultural sector from the aspect GDP is labor, direct expenditure and GDP lag; from the aspect of labor is the total labor force, investment, land area, direct expenditure, as well as the lag of labor; from the aspect of investment is influenced by GDP per capita, land area, interest rates and investment lag; as well as from the aspect of poor people, are affected by population, investments, direct expenditure and poverty lag, (5). Fiscal policy impact on the agricultural sector GDP increase, a decrease in the number of poor, declining agricultural laborers, and a decrease in the amount of investment in the agricultural sector.Keywords: Fiscal policy, the performance of the agricultural sector, the simultaneous equations

ANALISIS PENGARUH RASIO LIKUIDITAS, RASIO PROFITABILITAS, RASIO SOLVABILITAS DAN RASIO PASAR TERHADAP HARGA SAHAM PADA PERUSAHAAN YANG BERADA PADA INDEKS LQ45 DI BURSA EFEK INDONESIA

2016 ◽  
Vol 11 (02) ◽  
pp. 1-16
Author(s):  
Dilawatil Hikmah
Keyword(s):  
Fixed Effect Model ◽  
Fixed Effect ◽  
Cross Sectional ◽  
Effect Model

Penelitian ini dilakukan dengan tujuan untuk menguji pengaruh rasio likuiditas (CR), rasio profitabilitas (NPM, ROA, ROE, EPS), rasio solvabilitas (DER) dan rasio pasar (PER) terhadap harga saham (Y) pada perusahaan yang berada pada indeks LQ45 di Bursa Efek Indonesia. Metode pengumpulan data dilakukan dengan menggunakan laporan keuangan anggota emiten LQ45 periode Januari 2014 yang selama 5 tahun eksis dari Februari 2009 sampai Januari 2014. Metode sampel yang digunakan adalah purpose sampling (sampling bersyarat). Adapun jumlah sampel yang terpilih memenuhi syarat sebanyak 21 emiten dari 45 emiten. Teknis analisis data menggunakan Eviews 7.1 yaitu dengan metode cross sectional weight dengan pendekatan fixed effect model. Hasil penelitian menunjukkan bahwa secara bersama-sama maupun secara parsial variabel CR, NPM, ROA, ROE, EPS, DER, dan PER memiliki pengaruh terhadap harga saham. Namun variabel yang berpengaruh signifikan terhadap harga saham adalah NPM dan PER. Maka para investor dapat menilai kinerja perusahaan dengan melihat dari rasio keuangan dan melakukan penilaian terhadap harga saham sehingga dengan mudah dapat menentukan saham yang baik sebelum berinvestasi di BEI.

Vitamin D Receptor Gene Polymorphisms and the Risk of Metabolic Syndrome (MetS): A Meta-Analysis

2020 ◽  
Vol 20 ◽  
Author(s):  
Hamidreza Totonchi ◽  
Ramazan Rezaei ◽  
Shokoofe Noori ◽  
Negar Azarpira ◽  
Pooneh Mokarram ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Vitamin D ◽  
Vitamin D Receptor ◽  
Protective Factor ◽  
Meta Analysis ◽  
Receptor Gene ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Vdr Gene ◽  
Effect Model

Introduction: Several studies have assessed the association between the vitamin D receptor (VDR) polymorphism and risk of metabolic syndrome (MetS). However, the results were inconsistent and inconclusive. Therefore, we conducted a meta-analysis to clarify the exact association between the vitamin D receptor (VDR) polymorphisms and the risk of MetS. Methods: All accessible studies reporting the association between the FokI (rs2228570) or / and TaqI (rs731236) or/and BsmI (rs1544410) or/and ApaI (rs7975232 polymorphisms of the Vitamin D Receptor and susceptibility to MetS published prior to February 2019 were systematically searched in Web of Science, Scopus, and PubMed. After that, Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated to evaluate the strength of the association in five genetic models. Results: A total of 9 articles based on four gene variations, and comprising 3348 participants with 1779 metabolic syndrome patients were included. The overall results suggested a significant association between BsmI (rs1544410) polymorphism and MetS susceptibility in recessive model (OR, 0.72, 95% CI, 0.55-0.95, fixed effect model), allelic model (OR, 0.83, 95% CI, 0.72-0.95, fixed effect model), and bb vs BB (OR, 0.65, 95% CI, 0.46-0.93, fixed effect). However, no significant association was identified between TaqI (rs731236) polymorphism, ApaI (rs7975232) polymorphism, and FokI (rs2228570) polymorphism and MetS. Conclusion: This meta-analysis suggested an association between the BsmI (rs1544410) polymorphism and MetS. Indeed, BsmI (rs1544410) acts as a protective factor in the MetS. As a result, the VDR gene could be regarded as a promising pharmacological and physiological target in prevention or treatment of the MetS.

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