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 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 Pengaruh Pertumbuhan Ekonomi dan Investasi Terhadap Ketimpangan Pendapatan di Kabupeten/Kota Provinsi Nusa Tenggara Barat

2019 ◽  
Vol 3 (3) ◽  
pp. 365-375
Author(s):  
Mohammad Royan ◽  
Wahyu Hidayat Riyanto ◽  
Ida Nuraini
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Income Inequality ◽  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Regional Income Inequality ◽  
Independent Variable ◽  
Method Analysis

The distinction of interzonal potential will cause several problems such as uneven economic growth, the area-centered spreading investment, and income inequality. This research aims to analyze the effect of economic growth and investment on the inter-regional income inequality in West Nusa Tenggara from 2012 to 2017. This research uses secondary data obtained from BPS-Statistics Indonesia (Badan Pusat Statistik), and the Indonesian Investment Coordinating Board (Badan Koordinasi Penanaman Modal – BPKM). Williamson Index is used to representing income inequality, and the method analysis is the panel data analyzing with a Fixed Effect Model (FEM). The effect between a dependent variable and independent variable will be shown that economic growth has a positive and significant influence towards the income inequality, and investment has a positive and not significant influence towards the income inequality.

scholarly journals Determinan Kemiskinan di Provinsi Jawa Tengah Tahun 2011-2014

2018 ◽  
Vol 7 (3) ◽  
pp. 235-242
Author(s):  
Emi Megawati ◽  
Lesta Karolina Br Sebayang
Keyword(s):  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Simultaneous Test ◽  
Central Java ◽  
Effect Model ◽  
Independent Variable ◽  
Central Java Province

Berdasarkan data dari BPS, kemiskinan di Provinsi Jawa Tengah pada tahun 2011-2014 masih berada di peringkat kedua setelah DI Yogyakarta di Pulau Jawa-Bali. Penelitian ini menggunakan data panel dengan pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Sumber data yang diperoleh dari Badan Pusat Statistik (BPS) dan Direktorat Jendral Perimbangan Keuangan Indonesia. Hasil penelitian menunjukan bahwa variabel IPM berpengaruh negatif dan signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Sedangkan variabel PDRB dan pembiayaan pendidikan berpengaruh tidak signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Hasil uji secara bersama-sama menunjukan bahwa secara keseluruhan variabel bebas secara bersama-sama dapat menunjukan pengaruhnya terhadap kemiskinan. nilai dari Adjusted R2 sebesar 0,995 yang berarti 99,5 persen kemiskinan dapat dijelaskan oleh variabel bebas. Sedangkan sisanya 0,50 persen dijelaskan oleh variabel di luar model. Based on data from BPS, during years 2011-2014 Central Java Province are in number 2 after DI Yogyakarta in Java-Bali. This research use panel data with Fixed Effect Model (FEM) approach and by using Geberalized Square (GLS) method. The data source is secondary data are obtained from the Central Statistics Agency and the Directorate General of Financial Balance Indonesia. The result of this research show that HDI variable give the negative and significant influence to the poverty in Central Java province. GDRP and financing of education not significant influence to the poverty in Central Java province. Simultaneous test results showed that, overall, the independent variable (HDI, GDRP and financing of education) together can show its effect on poverty. the value of Adjusted R2 of 0,995, which means 99,5 percent of poverty can be explained by the independent variable. While the remaining 0,50 percent is explained by variables outside the model.

scholarly journals ANALISIS DETERMINAN BALITA PENDEK DAN SANGAT PENDEK DI INDONESIA 2015-2018 DENGAN REGRESI DATA PANEL

2020 ◽  
Vol 8 (2) ◽  
pp. 56-61
Author(s):  
Astrid C. A. Pangaribuan ◽  
Kuncoro Dwi Dhanutama ◽  
Miko Oktavio Wijaya ◽  
Putri Tareka Navasha ◽  
Rani Nooraeni
Keyword(s):  
Panel Data ◽  
Cross Section ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Individual Effect ◽  
Capita Expenditure ◽  
School Participation ◽  
Effect Model ◽  
Per Capita

Balita pendek dan sangat pendek (kerdil) adalah kondisi dimana balita memiliki panjang atau tinggi badan yang kurang dibandingkan dengan umur. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi persentase balita kerdil di Indonesia pada tahun 2015–2018. Penelitian ini menggunakan data sekunder berupa data panel yang bersumber dari website Badan Pusat Statistik dan publikasi Kementerian Kesehatan Republik Indonesia. Variabel bebas dalam penelitian ini adalah angka partisipasi sekolah, rata-rata pengeluaran per kapita rumah tangga untuk makanan, tingkat pengangguran terbuka, dan persentase balita gizi buruk dan kurang.  Metode analisis yang digunakan adalah regresi data panel dengan Fixed Effect Model (FEM). Setelah dilakukan estimasi model terpilih, didapatkan hasil bahwa rata-rata pengeluaran per kapita rumah tangga untuk makanan dan persentase balita gizi buruk kurang berpengaruh signifikan. Sementara itu, berdasarkan hasil Individual Effect atau Cross-Section Fixed Effect, persentase balita kerdil tertinggi berada di Provinsi Sulawesi Barat sedangkan yang terendah berada di Provinsi Kepulauan Riau. Kata kunci: Pengeluaran perkapita, partisipasi sekolah, tingkat pengangguran terbuka, balita gizi buruk  Abstract Toddler short and very short (dwarf) is a condition where toddlers have a length or height less than age. This study aims to analyze the factors that influence the percentage of stunted toddlers in Indonesia in 2015-2018. This study uses secondary data in the form of panel data sourced from the website of the Central Statistics Agency and the publication of the Ministry of Health of the Republic of Indonesia. The independent variables in this study are school participation rates, the average per capita household expenditure for food, open unemployment rates, and the percentage of malnourished and under-aged children. The analytical method used is panel data regression with the Fixed Effect Model (FEM). After estimating the selected model, the results show that the average per capita expenditure of households for food and the percentage of malnourished children under five is not significantly influential. Meanwhile, based on the results of the Individual Effect or Cross-Section Fixed Effect, the highest percentage of dwarf children was in West Sulawesi Province while the lowest was in Riau Islands Province. Keywords: Per capita expenditure, school participation, open unemployment rate, malnutrition toddlers 

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 FAKTOR-FAKTOR YANG MEMPENGARUHI KEDALAMAN JANGKAUAN (DEPTH OF OUTREACH) LEMBAGA KEUANGAN MIKRO (LKM) UED-SP DI KECAMATAN RAMBAH KABUPATEN ROKAN HULU

2018 ◽  
Vol 14 (1) ◽  
pp. 77
Author(s):  
Ahmad Rifai ◽  
Siswanto Siswanto ◽  
Eri Sayamar
Keyword(s):  
Secondary Data ◽  
Predictive Ability ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Fixed Effect ◽  
Microfinance Institutions ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Agriculture Sector ◽  
Pooled Data

<p>Abstract : This study analysis the factors affecting the depth of outreach of<br />Microfinance Institutions (MFIs) of UED-SP at Rambah Sub-district Rokan Hulu<br />District. Factors thought to influence the depth of outreach is age of UED-SP, ROA,<br />percent of trading sector clients, percent of agriculture sector clients and number of<br />woman clients. The sampling method is done using by purposive sampling. This study<br />obtained a sample of twelve UED-SPs in the village at Rambah District from in the<br />period of 2012-2015. The data used is secondary data form pooled data. Data were<br />obtained based on the financial reports of each of the samples. This study uses<br />quantitative approach with analysis technique used is multiple linear regression<br />analysis with fixed effect model of pooled data that were previously tested with the<br />classical assumption test. Hypothesis testing using t-statistic and the F-statistic with<br />95% confidence level. Based on the classic assumption test found no variables that<br />deviate. This shows that the available data has been qualified using the linear<br />regression equation model. The results of this study show that depth of outreach are<br />statistically significant infiuenced by age of UED-SP. However, it’s negatively affect<br />on depth of outhreach. Whereas ROA, number of woman borrower, percent of<br />agriculture sector clients and percent of trading sector clients has no affect on depth of<br />outhreach. Predictive ability of these five variables on the depth of outhreach is 77,66<br />percent, while the 22,34 percent influenced by other factors not included in the<br />research model.</p><p> </p><p>Abstrak : Penelitian ini bertujuan untuk menguji faktor-faktor yang mempengaruhi<br />kedalaman jangkauan (Depth of Outrech) pada LKM UED-SP di Kecamatan Rambah<br />Kabupaten Rokan Hulu. Faktor-faktor yang diduga berpengaruh terhadap kedalaman<br />jangkauan adalah umur UED-SP, rasio pengembalian aset (ROA), jumlah peminjam<br />wanita, proporsi peminjam sektor pertanian dan proporsi peminjam sektor perdagangan. Metode pengambilan sampel dilakukan dengan menggunakan purposive sampling. Dalam penelitian ini diperoleh sampel sebanyak 12 LKM UED-SP di Desa/Kelurahan yang ada di Kecamatan Rambah dan data yang dihimpun adalah 4 tahun dari tahun 2012-2015. Data yang digunakan adalah data sekunder data panel. Data diperoleh berdasarkan laporan keuangan dari masing-masing sampel. Teknik analisis yang digunakan adalah analisis regresi linear berganda data panel dengan model Fixed Effect (FEM) yang sebelumnya diuji dengan uji asumsi klasik. Uji hipotesis menggunakan t-statistik serta F-statistik dengan tingkat kepercayaan 95%. Berdasarkan uji asumsi klasik tidak ditemukan variabel yang menyimpang. Hal ini menunjukkan bahwa data yang tersedia telah memenuhi syarat menggunakan model persamaan linear berganda. Hasil penelitian menunjukkan bahwa variabel umur UEDSP berpengaruh signifikan terhadap kedalaman jangkauan. Namun berpengaruh negatif terhadap kedalaman jangkauan. Kemampuan prediksi kelima variabel tersebut terhadap kedalaman jangkauan adalah 77,66 persen, sedangakan 22,34 persen dipengaruhi oleh faktor lain yang tidak dimasukkan ke dalam model penelitian.</p>

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 Determinants of Financial Performance of Nepalese Commercial Banks: Evidence from Panel Data Approach

2020 ◽  
Vol 32 (2) ◽  
pp. 45-59
Author(s):  
Purna Man Shrestha
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Commercial Banks ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Lagrangian Multiplier ◽  
Effect Model ◽  
Specific Factors ◽  
The Impact ◽  
Bank Specific Factors

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.  

scholarly journals Pengaruh Konsumsi Energi dan Deforestasi Terhadap Output Nasional Lima Negara Anggota ASEAN

2021 ◽  
Vol 10 (2) ◽  
pp. 105-112
Author(s):  
Neni Kristiana ◽  
Lorentino Togar Laut ◽  
Jalu Aji Prakoso
Keyword(s):  
Panel Data ◽  
Co2 Emissions ◽  
Negative Impact ◽  
National Income ◽  
Electricity Consumption ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Coal Consumption ◽  
Effect Model ◽  
National Output

The economic development aimed at improving people’s welfare often ignores the negative impact of the surrounding environment. The high use of energy aimed to increase the national income of the five ASEAN members hurts the environment by increasing CO2 levels in the air.  This research aims to analyze the effect of CO2 emissions, coal consumption, electricity consumption and deforestation on national output in five ASEAN members. The variable used in this research is national output as the dependent variable and CO2 emissions, coal consumption, electricity consumption and deforestation as the independent variables. This research uses secondary data. The data is the panel data of five ASEAN members (Indonesia, Malaysia, Thailand, Philippines, Myanmar) from 2002 until 2018.  The research method in this time is panel data regression, using Fixed Effect Model. This research shows that in five ASEAN members from 2002 until 2018, CO2 emissions harm national output, coal consumption, and electricity consumption positively affects national outcome, while deforestation does not affect national output.

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