scholarly journals DEFISIT ANGGARAN PENDAPATAN DAN BELANJA DAERAH KABUPATEN/KOTA PROVINSI DI SUMATERA SELATAN

MBIA ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 111-122
Author(s):  
Muhammad Bahrul Ulum ◽  
Ayu Geby Gisela Syaputri
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Budget Deficit ◽  
Capital Expenditure ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Coefficient Of Determination ◽  
Local Expenditure ◽  
Effect Model ◽  
Negative Effect

This study aims to see how far the influence of regional own income, capital expenditure, and GDP on the budget deficit of regional own income and local expenditure in 14 districts/cities in South Sumatra province with used panel data with the number of time series from 2010-2019 and analysis method used is panel data regression by using fixed-effect model (FEM). The results of this study are regional own income and local expenditure have a positive effect on the increase in the budget deficit and GDP has a negative effect on the budget deficit in the South Sumatra province, and the magnitude of the influence of variables regional own income, local expenditure, and GDP with the budget deficit has a coefficient of determination of 94.3 percent which means that the variation of these variables in determining the budget deficit is very strong. Keywords: Budget Deficit, PAD, capital expenditure, GDP Abstak Penelitian ini bertujuan untuk melihat sejauh mana pengaruh pendapatan asli daerah, belanja modal dan PDRB terhadap Defisit Anggaran Pendapatan dan Belanja Daerah pada 14 kabupaten/kota di provinsi Sumatera Selatan dengan data yang digunakan adalah data panel dengan jumlah “time series” dari tahun 2010-2019 dan metode analisis yang digunakan adalah regresi data panel dengan menggunakan fixed effect model (FEM). Hasil dari penelitian ini adalah pendapatan asli daerah dan belanja modal memiliki pengaruh yang positif terhadap peningkatan defisit anggaran serta PDRB memiliki pengaruh yang negatif terhadap defisit anggaran di provinsi Sumatera Selatan, serta besaran pengaruh variabel pendapatan asli daerah, belanja modal dan PDRB terhadap defisit anggaran memiliki koefisien determinasi sebesar 94,3 persen yang berarti bahwa variasi variabel ini dalam menentukan defisit anggaran sangat kuat. Kata kunci: Defisit Anggaran, PAD, Belanja Modal, PDRB

Dana pihak ketiga, Inflasi dan Pembiayaan Mudharabah terhadap Non Performing Financing pada Bank Islam di Indonesia dan Malaysia

2019 ◽  
Vol 16 (2) ◽  
pp. 74-80
Author(s):  
Afrillia Tiara Putri ◽  
Saadah Yuliana ◽  
Anna Yulianita
Keyword(s):  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Islamic Banks ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

This study aimed to analyze the influence of third party funds, inflation, and mudharabah against non performing financing on Islamic Banks in Indonesia and Malaysia. Data used is secondary data. The method used in this analysis is the panel data regression. The results showed that in partial third party fund and mudharabah significant negative effect on the Non Performing Financing, while inflation is positive and not significant to the Non Performing Financing. Variable Third Party Funds, Inflation and mudharabah jointly significant effect on Non Performing Financing. Based on the regression equation fixed effect model results show the results of the coefficient of determination (R2) is 0.369198, or 36.91 per cent means that the variation of the variable third party funds, inflation and mudharabah have an influence on the non performing financing for the coefficient of determination, while the rest 63.09 percent influenced by variables outside the model

scholarly journals ANALISIS REGRESI DATA PANEL TERHADAP INDEKS PEMBANGUNAN MANUSIA (IPM) JAWA TIMUR TAHUN 2006-2015

2018 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
Muhammad Jamil Hidayat ◽  
Alfian Futuhul Hadi ◽  
Dian Anggraeni
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Series Data ◽  
Cross Section Data ◽  
Section Data ◽  
Effect Model ◽  
Per Capita

Panel data is a combination of time series and cross section data. Panel data regression is used because in a time there is time researchers can’t perform analysis only by using time series data and cross section data only. This is because the number of factors used in the analysis phase, so that if the researcher only uses cross section data then the researcher can’t see the influence of factors that affect as well as on the growth of HDI that occurs from time to time in a certain period. Whereas it is quite possible that the conditions between one year and another will be different. Based on the model estimation, it is used with fixed effect model (FEM) approach. Modeling HDI with FEM in 2006-2015 period resulted in R2 value of 94.23%. The results showed that from 2006-2015 the ratio of student-teacher (RST), health facilities (HF), percentage of expenditure per capita by group of food (PPF) and regional per capita expenditure (PPE) have significant effect to HDI. Keywords: HDI, Panel, Fixed Effect Model

scholarly journals Analisis Regresi Balanced Panel dengan Komponen Galat Dua Arah pada Kasus Melek Huruf Masyarakat di Provinsi NTB

2021 ◽  
Vol 3 (1) ◽  
pp. 10
Author(s):  
Muhammad Irwansyah ◽  
R. Ruliana ◽  
Muhammad Kasim Aidid
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Common Effect ◽  
Effect Model

Abstract. Analsis regresi adalah suatu metode untuk melihat pengaruh antara satu atau lebih peubah bebas terhadap peubah terikat. Data yang digunakan untuk analisis regresi ada yang berupa penggabungan antara data cross section dengan data time series yang dikenal dengan nama data panel. Data panel yang memiliki jumlah pengamatan waktu yang sama di setiap objek pada tabulasi silang merupakan data panel lengkap (Balanced panel). Penelitian ini mencari nilai dugaan terhadap model regresi data panel dengan komponen galat dua arah yaitu galat pada waktu dan galat pada individu. Analisis regresi data panel dapat menggunakan tiga pendekatan yaitu common effect model, fixed effect model, dan random effect model. Pemilihan model terbaik dari ketiga pendekatan regresi data panel menggunakan uji hausman, uji chow, dan uji lagrange multipler. Dalam penelitian ini didapatkan model terbaik yaitu model random effect dimana peubah yang memiliki pengaruh signifikan terhadap melek huruf di Provinsi NTB yaitu rasio murid guru tingkat SMP rasio murid guru tingkat SMA, dan persentase penduduk miskin. Model regresi data panel yang terbentuk yaitu: Y = 117,5728 - 0,1967X5 - 0,3091X6 - 0,3297X7 + eKeywords: regresi data panel, common effect model, fixed effect model, random effect model, melek huruf.

scholarly journals ANALISIS INSTRUMEN KEBIJAKAN FISKAL TERHADAP PERTUMBUHAN EKONOMI DI 35 KABUPATEN / KOTA PROVINSI JAWA TENGAH TAHUN 2013 – 2017

2019 ◽  
Vol 17 (1) ◽  
pp. 1-8
Author(s):  
Fitri Bahari ◽  
Nugroho SBM
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model

Penelitian ini bertujuan untuk menganalisis pengaruh pajak, belanja pegawai, belanja barang dan jasa, belanja tidak langsung terhadap pertumbuhan ekonomi di 35 Kabupaten/ Kota Provinsi Jawa Tengah pada tahun 2013-2017, sebagai akibat pengambilan kebijakan fiskal. Data yang digunakan dalam penelitian ini adalah data panel (data time series selama lima tahun dari 2013-2017, dan data cross-section sebanyak 35 data yang mewakili Kabupaten/ Kota Di Provinsi Jawa Tengah). Metode analisis penelitian ini mengunakan regresi data panel fixed effect model. Analisis regresi data panel digunakan untuk mengetahui pengaruh variabel-variabel independen terhadap pertumbuhan ekonomi. Hasil estimasi dalam penelitian ini menunjukan bahwa variabel belanja tidak langsung berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi, variabel pajak, belanja pegawai berpengaruh negatif dan signifikan terhadap pertumbuhan, sedangkan variabel belanja barang dan jasa tidak berpengaruh terhadap pertumbuhan ekonomi. Dapat disimpulkan bahwa variabel belanja lagsung, pajak, dan belanja pegawai memiliki pengaruh terhadap pertumbuhan ekonomi sebagai dampak pengambilan kebijakan fiskal. Namun variabel belanja barang dan jasa tidak memiliki pengaruh terhadap pertumbuhan ekonomi di Kabupaten/ Kota Provinsi Jawa Tengah. Berdasarkan hasil penelitian diperlukan efektifitas alokasi anggaran belanja maupun penerimaan pemerintah, agar lebih dapat merespon kebijakan fiskal regional yang diambil pemerintah.

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 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 Perkembangan Usaha Mikro, Kecil, dan Menengah Terhadap Pendapatan Nasional Pada Sektor UMKM di Indonesia

2019 ◽  
Vol 8 (2) ◽  
pp. 127-135
Author(s):  
Lies Maria Hamza ◽  
Devi Agustien
Keyword(s):  
Panel Data ◽  
Small And Medium Enterprises ◽  
National Income ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
Medium Enterprises

This study aims to analyze the influence of the development of Micro, Small, and Medium Enterprises on the national income of the UMKM sector in Indonesia. This research used a panel data method with Fixed Effect Model. The data used are secondary in the value of GDP of UMKM, Labours of UMKM, investment of UMKM, and the number of units of UMKM from the 2000-2013 period. The results showed that labors of UMKM and placement of UMKM have a positive and significant effect on the national income of the UMKM sector in Indonesia. While for the number of units of UMKM not affect the national income of the UMKM sector in Indonesia.

Estimasi Fixed Effect Model dari Likuiditas Aset, Financial Leverage dan Likuiditas Saham di Indonesia

2019 ◽  
Vol 4 (3) ◽  
pp. 412
Author(s):  
Irdha Yusra ◽  
Awidi Mulfita
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Financial Leverage ◽  
Stock Liquidity ◽  
Common Effect ◽  
Effect Model ◽  
Asset Liquidity

<p><em>In investing, investors don’t assess the expected return, but also liquidity in shares. Because the aspect of liquidity is very important for investors to decide which stocks are attractive investments. This study aims to examine the effect of asset liquidity and financial leverage on stock liquidity. The population is all companies which are listed in Indonesia Stock Exchange in 2013-2017 periods. The sampling technique uses a purposive sampling method with predetermined criteria and obtained a sample of 58 companies with 290 observations. The data of the financial statement of the companies has been obtained from the official website of IDX. The analytical method used is regression analysis of panel data with the help of application E-Views 8. Panel data regression can be estimated using three models, namely Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). From the results of the estimation model, it is found that FEM is the best model in this study. Furthermore, the results of the study show that asset liquidity has a positive and not significant effect on stock liquidity, while financial leverage has a negative and significant effect on stock liquidity.</em></p><p>Dalam berinvestasi, investor tidak hanya menilai dari return yang diharapkan, namun juga likuiditas pada saham. Karena aspek likuiditas sangat penting bagi investor untuk memutuskan mana saham yang menarik investasi. Penelitian ini bertujuan untuk menguji pengaruh likuiditas aset dan financial leverage terhadap likuiditas saham. Populasi dalam penelitian ini adalah perusahaan yang terdaftar di Bursa Efek Indonesia (BEI) periode 2013-2017. Teknik pengambilan sampel menggunakan metode purposive sampling dengan kriteria yang telah ditentukan dan diperoleh sampel sebanyak 58 perusahaan. Data laporan keuangan diperoleh dari website resmi BEI. Metode analisis yang dipakai adalah analisis regresi data panel dengan bantuan aplikasi E-Views 8. Regresi data panel dapat diestimasi menggunakan tiga model, yaitu Common Effect Model (CEM), Fixed Effect Model (FEM), dan Random Effect Model (REM). Untuk mendapatkan model terbaik digunakan uji lanjut, yaitu Uji Chow dan Uji Hausman. Dari hasil estimasi model diperoleh bahwa FEM sebagai model terbaik dalam penelitian ini. Lebih lanjut, hasil penelitian menemukan bahwa likuiditas aset berpengaruh positif dan tidak signifikan terhadap likuiditas saham, sedangkan financial leverage berpengaruh negatif dan signifikan terhadap likuiditas saham.</p>

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.

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