scholarly journals PENGARUH UPAH MINIMUM PROVINSI, PENDIDIKAN DAN KESEHATAN TERHADAP KEMISKINAN DI INDONESIA

2019 ◽  
Vol 1 (3) ◽  
pp. 939
Author(s):  
Nadia Islami ◽  
Ali Anis
Keyword(s):  
Panel Data ◽  
Minimum Wage ◽  
Research Method ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Ordinary Least Square ◽  
Education And Health ◽  
Effect Model ◽  
Library Studies

This research aims to examined the impactt of provincial minimum wage, education and health on poverty in Indonesia with the selected model is the Fixed Effect Model (FEM). The data used is panel data during the period 2012-2017, with the technique of collecting documentation data and library studies obtained from relevant institutions and agencies.The variables use are poverty, provincial minimum wage, education and health. The research method used is Ordinary Least Square (OLS). The estimation results show that, provincial minimum wage have a positive and significant effect on poverty in Indonesia. Education have a negative and significant effect on poverty in Indonesia. Health have a negative and its not significant effect on poverty in Indoneisa. Meanwhile simultaneously province minimum wage, education and health affect the poverty in Indonesia.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI INDUSTRI KECIL SULAMAN DI PROVINSI SUMATERA BARAT

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Aninda Aizat ◽  
Sri Ulfa Sentosa
Keyword(s):  
Panel Data ◽  
Research Method ◽  
Fixed Effect Model ◽  
Least Square ◽  
Business Unit ◽  
Literature Study ◽  
Ordinary Least Square ◽  
Business Units ◽  
Effect Model ◽  
West Sumatra

Abstract :This study.aim to examine of the factors that influence the production ofsmall embroidery industries in West Sumatra Province with the Fixed Effect Model(FEM) selected. The data used is panel data during the 2014-2018 period, withdocumentation data collection techniques and literature study obtained from relatedinstitutions and agencies. The variables used are Capital (X1), Labor (X2) andBusiness Units (X3). The research method used is: OLS. estimation results show thecapital has positive, insignifican. Effect.on embroidery production in West Sumatra.Furthermore, Labor has a negative and insignificant effect on embroideryproduction in West Sumatra. And the business unit has a positive and significanteffect on embroidery production in West Sumatera. Together., capital, labor andbusiness units have a significant effect on embroidery production in West Sumatra.Keywords: Capital, Labor, Business Units, Production, and Ordinary Least Square(OLS).

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals APLIKASI REGRESI DATA PANEL DENGAN PENDEKATAN FIXED EFFECT MODEL (STUDI KASUS: PT PLN GIANYAR)

2014 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
NI PUTU ANIK MAS RATNASARI ◽  
I PUTU EKA NILA KENCANA ◽  
G.K. GANDHIADI
Keyword(s):  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Panel data regression has three approaches. One of these approaches is Fixed Effect Model (FEM). FEM is common estimated using Least Square Dummy Variable. The use of dummy variable in FEM is based on assumption that slope coefficients are constant but intercept varies over individuals. One of application of FEM is to find out motivation of employees at PT PLN Gianyar for non-outsourcing and outsourcing employees based on existence, relatedness, and growth. This research yields the following two models:with 67% motivation non-outsourcing employees represented by existenceand73% motivation non-outsourcing employees represented by existence and growth.

scholarly journals The Determinants of Sukuk Issuance: Evidence from Top Sukuk Issuing Countries

2021 ◽  
Vol 16 (1) ◽  
pp. 21-34
Author(s):  
Mohamad Nizam Jaafar ◽  
◽  
Amirul Afif Muhamat ◽  
Norzita Abdul Karim ◽  
Mohd Faizal Basri ◽  
...  
Keyword(s):  
Panel Data ◽  
Random Effect Model ◽  
Political Stability ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Macroeconomic Variables ◽  
Brunei Darussalam ◽  
Effect Model ◽  
Control Of Corruption

Macroeconomic variables may influence the issuance of Sukuk. The purpose of this study was to determine the relationship between macroeconomic variables namely Gross Domestic Product (GDP) per capita, inflation, rules of law, corruption of control and political stability. This study used a panel data study consisting of 11 countries that were mostly involved in the issuance of Sukuk. The countries are Bahrain, Brunei Darussalam, Indonesia, Kuwait, Malaysia, Pakistan, Qatar, Saudi Arabia, Singapore, Turkey and United Arab Emirates. The data was generated from 2006 until 2015 and collected from the authorized sources such as the Islamic Finance Information Services (IFIS), World Development Indicator and World Economic Outlook. This research employed several statistical methods like descriptive statistics, unit root test, and correlation analysis. In order to meet the objective of this research, an econometrics estimation of Pool Ordinary least square model, Fixed Effect Model and Random Effect Model were tested. The output from the Fixed Effect Model indicates that only GDP and control of corruption have a significant relationship to Sukuk issuance. It can be concluded that when the GDP increases, the number of Sukuk issued will increase accordingly. This is also applicable to corruption where better control of corruption will lead to an increase in Sukuk issuance. Therefore, good policies should in place to ensure a conducive economic environment that will encourage participation in the Sukuk market. Keywords: Sukuk, Islamic capital market, macroeconomic, panel data, least square model

scholarly journals ANALISIS REGRESI UNTUK DATA PANEL PADA PEMODELAN TINGKAT KEMATIAN IBU DI PROVINSI SULAWESI SELATAN

2020 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Muhammad Imran Rahman ◽  
Muhammad Nusrang ◽  
S. Sudarmin
Keyword(s):  
Parameter Estimation ◽  
Panel Data ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
South Sulawesi ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Abstrak. Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian ibu di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2016. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian ibu, perdarahan, hipertensi dalam kehamilan, infeksi dan gangguan sistem peredaran darah di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model dengan nilai 𝑅2 = 90%. Adapun peubahpeubah yang berpengaruh signifikan terhadap kematian ibu adalah perdarahan, hipertensi dalam kehamilan dan infeksi. Dari hasil analisis diperoleh juga daerah yang memiliki jumlah kematian ibu terbesar di Provinsi Sulawesi Selatan tahun 2014-2016 adalah Bone dan Jeneponto.Kata Kunci: Regresi data Panel, Angka Kematian Ibu, Fixed Effect Model, Least Square Dummy Variable.Abstract. This research discusses about parameter estimation of panel data regression model of mother mortality level modelling in South Sulawesi from 2014 to 2016. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of mother mortality, bleeding, infection, circulatory system disorders and metabolic disorders in the whole district/town in South Sulawesi year 2014-2016. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach with value of 𝑅2 = 90%. The variables that significantly influence maternal mortality are bleeding, hypertension in pregnancy and infection. From the results of the analysis, it was also found that the regions that had the largest number of maternal deaths in South Sulawesi Province in 2014-2016 were Bone and Jeneponto.Keywords: Panel Data Regression, Mother Mortality Rate, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals Pengaruh Migrasi Masuk, Pendidikan dan Upah Minimum terhadap Pengangguran Terbuka di Kabupaten dan Kota Provinsi Jawa Timur

2020 ◽  
Vol 4 (1) ◽  
pp. 83
Author(s):  
Candra Gunawan Wibisono
Keyword(s):  
Panel Data ◽  
Minimum Wage ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Level Of Education ◽  
Effect Model

This research aims to analyze the influence of variable on migration, education and the minimum wage of open unemployment in regency/cities East Java province in 2009-2012 either simultaneously or partial. This research uses panel data (2009-2012) expectedly for migration, education, minimum wage and open unemployment variable. The sample ranges round 38 regency/cities in East Java. The model is choice use approach to analyze this problem is Fixed Effect Model (FEM). From the results of estimation is obtain that the migration variable entry and minimum wage significantly affect open unemployment. While the level of education variables have no effect on the open unemployment.

scholarly journals Analisis Pembiayaan Mudharabah Bank Pembiayaan Rakyat Syariah Terhadap Nonperforming Financing di Indonesia Tahun 2015-2020

2021 ◽  
Vol 6 (1) ◽  
pp. 26
Author(s):  
Andiman Andiman ◽  
Agus Widardjono
Keyword(s):  
Panel Data ◽  
Model Selection ◽  
Research Method ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Selection Test

This study aims to analyze the effect of the type of financing on the Non-Performing Financing (NPF) of Islamic People's Financing Banks in Indonesia for the 2015-2019 period. The research method used is panel data regression with the Fixed Effect model as the recommended model based on the results of the model selection test. The results showed that the Log Mudharabah variable had a negative effect on the Non Performing Financing of Islamic Rural Banks. Mudharabah Log, Non Performing Financing

scholarly journals PENGARUH UPAH SEKTOR INDUSTRI, TINGKAT PENDIDIKAN, DAN INVESTASI ASING TERHADAP PENYERAPAN TENAGA KERJA SEKTOR INDUSTRI DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Agung Febrian Usman ◽  
Sri Ulfa Sentosa
Keyword(s):  
Panel Data ◽  
Foreign Investment ◽  
Agricultural Sector ◽  
Least Square ◽  
Estimation Result ◽  
Ordinary Least Square ◽  
Result Show ◽  
Library Studies

Abstract: This research aims to examined the effect of industry of wage, education and forigninvestment on the agricultural sector labor industry in Indonesia with the selected model is the RandonEffect Model (REM ). The data used is panel data during the period 2014-2018, with thw twchnique ofcollecting documentation data and library studies obtained fromm relevant institution and agencies.Thevariables use are industry of wage (X1), education (X2), foreign invesment (X3), . the research methodused is Ordinary Least Square (OLS). The estimation result show that industry of wage have a positiveand its significant effect on the agricultural sector labor industry in Indonesia. Education have anegative and significant effect on the agricultural sector labor industry in Indonesia. foreign investmenthave a positife and its siknificant effect the agricultural sector industry Indonesia. Meanwhilesimultaneously industry of wage, education and foreign investment effect the agricultural sector laborindustry in Indonesia.Keywords: Agricultural Sector Labor Industry, Industry Of Wage, Education, Foreign Investment, andOrdinary Least Square (OLS)

Analysis of Board Size and Firm Performance: Evidence from NSE Companies Using Panel Data Approach

2016 ◽  
Vol 9 (2) ◽  
pp. 148-172 ◽  
Author(s):  
Anjala Kalsie ◽  
Shikha Mittal Shrivastav
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Least Square ◽  
Empirical Literature ◽  
Board Size ◽  
Effect Model

This article seeks to examine the relationship between the board size and firm performance. Existing literature on board size is based on different theories of corporate governance. While agency theory and resource dependency theory suggest that the board size positively affects performance, stewardship theory favours smaller board size and argues that larger board size negatively impacts the firm performance. The present article adds to the empirical literature by employing panel data analysis of 145 non-financial companies listed in the NSE CNX 200 Index of India corresponding to 16 industries. The study is carried out for a period of five years from 2008 to 2012. The firm performance has been measured using Tobin’s Q and the market-to-book value ratio (MBVR) as market-based measures and return on assets (ROA) and return on capital employed (ROCE) as accounting-based measures. The fixed effect model, random effect model and feasible generalised least square (FGLS) regression models are applied to achieve the above-mentioned objectives. The results conclude that the board size has a positive and significant impact on the firm performance.

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