scholarly journals PENGARUH INFRASTUKTUR EKONOMI DAN SOSIAL DALAM PEMBANGUNAN DAERAH

2019 ◽  
Vol 1 (2) ◽  
pp. 114
Author(s):  
Wahyu Dede Kusuma
Keyword(s):  
Panel Data ◽  
Regional Development ◽  
Cross Section ◽  
Cellular Phone ◽  
Fixed Effect Model ◽  
Clean Water ◽  
Water Access ◽  
Labor Participation ◽  
Effect Model ◽  
Positive Effect

This study describes the effect of economic and social infrastructures on regional development in Indonesia. Infrastructures were devided into two parts, they are: economic infrastructures (road, cellular phone, electricity, and clean water access) and social (education) in 33 provinces from 2012 to 2017. This study uses panel data: fixed effect model with cross-section weights (Panel EGLS). From the estimation, we can get the description that all of infrastructures and labor participation give the significant effect to regional development except road. All of those significant infrastructures and labor participation give the positive effect to the regional development. Labor participationgives the biggest impact to regional development followed by electricity and clean water access.

scholarly journals Do Independent Commissioners Control the Effect of Family-Owned Business Characteristics on Dividend Policy? A Study in Indonesian Manufacturing Companies

2021 ◽  
Vol 2 (2) ◽  
pp. 55-62
Author(s):  
Ernie HENDRAWATY ◽  
Sri HASNAWATI ◽  
Lia PURNAMASARI
Keyword(s):  
Panel Data ◽  
Family Business ◽  
Dividend Policy ◽  
Fixed Effect Model ◽  
Financial Data ◽  
Panel Regression ◽  
Manufacturing Companies ◽  
Effect Model ◽  
Positive Effect

This study aims to determine the role of independent Commissioners to control the effect of family-owned business characteristics on dividend policy. This study construct panel data that estimate using panel regression with a fixed-effect model. The model is estimated using financial data of 64 Indonesian manufacturing companies that were observed from the period 2016-2018. The result showed that family-owned business characteristics have a positive effect on dividens. The Independent Commisioners were able to control the effect of family business characteristics on the dividend policy. The Independent Commissioners have a role in reducing the positive effect of family-owned businesses characteristics on dividends.

scholarly journals Analisis Determinan Ketimpangan Pendapatan Di Provinsi Jawa Barat Tahun 2015-2020

2021 ◽  
Vol 10 (2) ◽  
pp. 95-104
Author(s):  
Widyastuti Dias ◽  
Lucia Rita Indrawati
Keyword(s):  
Income Inequality ◽  
Cross Section ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
West Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

This study aims to analyze the factors that influence income inequality in the province of West Java. The data used is in the form of a cross-section of 28 districts or cities in the area of West Java and a time series for a period of 6 years, namely from 2015-2020. This study uses panel data regression analysis using a fixed-effect model and is processed with the help of Eviews 10. The results showed that the Human Development Index had a significant positive effect on income inequality. The population had an insignificant negative effect on income inequality. The open unemployment rate had a positive and minor impact on income inequality.

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 Population, Poverty and Economic Development Nexus: Empirical Study of Some Selected Developing Countries

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Muhammad Sibt e Ali ◽  
Syed Muhammad Faraz Raza ◽  
Syed Muhammad Faraz Raza ◽  
Naeem ul Din ◽  
Syed Zain Ul Abidin
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Panel Data ◽  
Developing Economies ◽  
Negative Impact ◽  
Positive Impact ◽  
Value Added ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Positive Effect

The major objective of this research is to examine the connection among poverty, population growth and its impact on economic development of different developing countries. This research comprised of panel data for period of 2002-2015. The data has been taken World Bank Indicator (WDI) for twenty six developing countries. To find out the results we use panel data. For the analysis of data we have applied Hausman and Fixed Effect Model in this study. Findings of the study indicate that the consumption of government, export, gross capital formation and industrial value added have positive impact on growth of developing economies. The results show that the variation in these variables has positive effect on dependent variables. On the other hand, economic growth increases due to positive changes in this variable. It is seen in this study that population and poverty has negative impact on GDP per capita in selected developing countries.

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 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 Daya Saing dan Pertumbuhan Ekonomi Negara Berkembang ASEAN

2020 ◽  
Vol 9 (1) ◽  
pp. 37-44
Author(s):  
Fadeli Yusuf Afif ◽  
Ukhti Ciptawaty
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Series Data ◽  
Labor Participation ◽  
Effect Model ◽  
Asean Countries

The purpose of this study is to look at the condition of the country's competitiveness and its influence on ASEAN economic growth. The data used consists of panel data consisting of time series data for 2009 - 2019 and a cross section of five ASEAN countries with the highest level of competitiveness. The variables used are economic growth, competitiveness, labor participation, and foreign direct investment. The analysis tool used is panel data regression, the Fixed Effect Model (FEM). The results show that competitiveness, labor participation, and foreign direct investment have a positive and significant effect on economic growth in the five developing ASEAN countries.   Keywords: ASEAN, Competitiveness, Economic Growth, and Fixed Effect Model (FEM).

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 Pengaruh Kualitas Pengungkapan Keuangan dan Struktur Kepemilikan Terhadap Asimetri Informasi

2021 ◽  
Vol 8 (1) ◽  
pp. 44-50
Author(s):  
Farma Andiansyah ◽  
Slamet Haryono
Keyword(s):  
Information Asymmetry ◽  
Panel Data Analysis ◽  
Fixed Effect Model ◽  
Accounting Disclosure ◽  
Effect Model ◽  
Statistical Effect ◽  
The Board Of Directors ◽  
Mobilizing Information ◽  
Positive Effect

Abstract -The presence of information asymmetry increases transaction costs and reduces liquidity, and reduces the quality of investment decisions taken by investors. So that in turn it weakens the overall function of the market. Accounting disclosure plays a role in mobilizing information from management and investors so as to reduce information asymmetry. In addition, it is hoped that the presence of a concentration of investor ownership can carry out internal monitoring of the company so as to reduce information asymmetry. On the other hand, institutional investors have many incentives to access company information for their trading purposes due to the conflict of interest between outside investors and the board of directors. This study aims to determine the effect of disclosure quality and ownership structure on information asymmetry in companies listed on the Jakrta Islamic Index (JII) during the 2015-2019 period. Based on the results of panel data analysis of the Fixed Effect Model (FEM), it was found that institutional ownership had a significant positive effect on information asymmetry, while the quality of disclosure and ownership concentration did not have a statistical effect on information asymmetry.

scholarly journals ANALISIS INTERVENSI FISKAL TERHADAP KEMISKINAN (STUDI KASUS DANA DESA PULAU KALIMANTAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
M. Zaky Mubarak Lubis ◽  
Aprian Subhan Dahraini
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Panel Data Model ◽  
Fund Allocation ◽  
Effect Model ◽  
Descriptive Approach ◽  
Quantitative Descriptive ◽  
The Village

ABSTRACTOne of the government's strategies to help the village become independent and autonomous by giving the allocation of village funds. The funds allocated for the rural area, and expected to support the implementation of the people’s empowerment and the rural development, so that funds can improve the people’s prosperity. Furthermore, the aims of this study to look at the influence of Fiscal Intervention which are representated by Village Fund, Village Fund Allocation, and part of Local Earning and Retribution toward Poverty which is representated by Poverty Rate of Residences/Cities in Kalimantan Island during 2015-2017. This research used quantitative descriptive approach with Panel Data Model. The result showed of Fixed Effect Model regression that, Village Fund, Village Fund Allocation, and part of Local Earning and Retribution have have negative significant influence at Poverty Rate for 47 Residences/Cities in Kalimantan Island.

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