scholarly journals ANALISIS EKONOMI KEBIJAKAN DANA DESA TERHADAP KEMISKINAN DESA DI KABUPATEN TULUNGAGUNG

2017 ◽  
Vol 15 (1) ◽  
pp. 34
Author(s):  
Intan Mala Sari ◽  
Muhammad Faisal Abdullah
Keyword(s):  
Panel Data ◽  
Hypothesis Testing ◽  
Rural Poverty ◽  
Fixed Effect Model ◽  
Coefficient Of Determination ◽  
Error Level ◽  
Effect Model ◽  
Show Difference ◽  
The Difference ◽  
The Village

The purpose of this research is analysis of the difference rural poverty in district tulungagung between on the 2015 and 2016 and analyze influence of fund village and ADD against rural poverty in Tulungagung district. Analysis tools used twin regression with the panel data to hypothesis testing with F test, t test, and  coefficient of determination () at the error level  . The result of analysis regression panel data with the selected model is Fixed Effect Model that show difference rural poverty in district tulungagung between on the 2015 and 2016, variables used in the model are the village fund and ADD take effect on rural poverty with the every score -4,52 for the village fund and -1,52 for ADD. While the coefficient of determination  () is 0,99 or 99%, variable ability show village fund and ADD explain rural poverty in the tulungagung district is 99%. And influence of fund village and ADD against rural poverty is there any difference at the every village in Tulungagung district.

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.

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

Analisis Pengaruh Dana Desa, Alokasi Dana Desa dan Pendapatan Asli Desa terhadap Jumlah Penduduk Miskin Desa di Kabupaten Tuban

2021 ◽  
Vol 4 (2) ◽  
pp. 238-250
Author(s):  
Tanti Auliya Agustina ◽  
Muchtolifah Muchtolifah ◽  
Sishadiyati Sishadiyati
Keyword(s):  
Panel Data ◽  
Fixed Effect Model ◽  
Coefficient Of Determination ◽  
Poor People ◽  
Analysis Tool ◽  
Rural Poor ◽  
Fund Allocation ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Village

This study aims to analyse the difference in the Number of rural poor people in Tuban Regency between 2019 and 2020 to examine the effect of the Village Fund, Allocation of village funds (ADD) and Village original income on the Number of rural poor people in Tuban Regency in 2019-2020. The analysis tool used is panel data regression which is testing the hypothesis with the F test, t test and Coefficient of Determination (R2) at an error rate of = 5%. The results of panel data regression analysis with the selected model is the Fixed Effect Model showing that there is a difference in the Number of rural poor people in Tuban Regency between 2019 and 2020, the variables used in the model, namely the Village Fund, Allocation of village funds (ADD) and Village original income are able to explain the variation of the variable Number of rural poor by 85% and 15% are influenced by other factors that are not included in the research variables. Keywords: Village Fund, Allocation of village funds (ADD) and Village original income

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

scholarly journals Determinants of Structural Transformation in ASEAN

2020 ◽  
Vol 35 (2) ◽  
pp. 137
Author(s):  
Kalies Sirieh Puspitowati ◽  
Deden Dinar Iskandar
Keyword(s):  
Panel Data ◽  
Structural Transformation ◽  
Value Added ◽  
Fixed Effect Model ◽  
Dependency Ratio ◽  
Service Value ◽  
Income Per Capita ◽  
Effect Model ◽  
Per Capita ◽  
Asean Countries

This study aims to analyze the determinants of the structural transformation in ASEAN countries. This study uses quantitative panel data from 9 countries in ASEAN from 2000 to 2017, thus makes up for 162 observations. This study employs panel data regression analysis with fixed effect model approach. In this study, the shifting of sectoral value added away from agriculture sectors indicates structural transformation. In particular, sectoral value added consists of the industrial value added and service value added. The results of this study shows that dependency ratio, income per capita, education, and trade significantly affect the increase of industrial value added during observation period. On the other hand, total population, dependency ratio, income per capita, education, control of corruption, and trade significantly increase the service value added over time.

scholarly journals VOLATILITAS INFLASI DAERAH DI INDONESIA: FENOMENA MONETER ATAU FISKAL?

KRITIS ◽  
2016 ◽  
Vol 24 (1) ◽  
pp. 76-89
Author(s):  
Paula Adiati Trisdian ◽  
Yulius Pratomo ◽  
Birgitta Dian Saraswati
Keyword(s):  
Panel Data ◽  
Local Government ◽  
Positive Relationship ◽  
Foreign Currency ◽  
Credit Rationing ◽  
Government Debt ◽  
Fixed Effect Model ◽  
Inflation Volatility ◽  
Effect Model ◽  
Project Location

This research aims to analyse the regional inflation volatility in Indonesia for the period of 1999-2009 from both monetary and fiscal sides. The data employed in this study are regional panel data consisting of 275 observations picked from several publications. The method of analysis used in this study is Fixed Effect Model. The proxy of monetary side is outstanding of loans in Rupiah and Foreign Currency of commercial and rural banks by project location of Provinces, and fiscal side is local government debt. This research finds both monetary and fiscal sides have positive relationship with the inflation volatility in Indonesia. However, only monetary side which has significant impact, but fiscal side does not. This finding further shows that the regional inflation in Indonesia is still a monetary phenomenon. Therefore, the solution to controll regional inflation in Indonesia is to manage credit rationing conducting by commercial and rural banks for every province.

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.

scholarly journals The Impact of Dividend Policy on Stock Price Volatility in Pakistan

2019 ◽  
Vol IV (I) ◽  
pp. 506-515
Author(s):  
Ziaullah Shah ◽  
Shehzad Khan ◽  
Muhammad Faizan Malik
Keyword(s):  
Panel Data ◽  
Stock Price ◽  
Dividend Policy ◽  
Price Volatility ◽  
Fixed Effect Model ◽  
Share Prices ◽  
Dividend Payments ◽  
Effect Model ◽  
Dividend Irrelevance ◽  
The Impact

The objective of this study is to inspect dividend policy influence on volatility of share prices. For investigation seven Non-financial segment/sectors have been selected. A sample of 137 firms who paid four dividend payments listed at PSX is analysed for the period of 2007-2017.Proxy for policy of dividend are earning per share, Payout ratio, dividend yield, while assets growth and firm size are taken as control variables. OLS regression model has been initially applied on panel data. The outcomes of fixed effect model are focused. Overall outcomes of the study confirmed that prices of stock is significantly influenced by policy of dividend and reject dividend irrelevance theory.

scholarly journals ZAKAT SEBAGAI PENGURANG PAJAK DAN PENGARUHNYA TERHADAP PENERIMAAN PAJAK DI SEMENANJUNG MALAYSIA

INFERENSI ◽  
2013 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Eko Suprayitno ◽  
Radiah Abdul Kader ◽  
Azhar Harun
Keyword(s):  
Fiscal Policy ◽  
Panel Data ◽  
Income Tax ◽  
Islamic Law ◽  
Fixed Effect Model ◽  
Tax Revenue ◽  
Policy Tool ◽  
Effect Model ◽  
Tax Payers

This paper attempts to examine the role of zakat administration policy in Malaysia and its impact on the tax revenue in Malaysia Peninsula. Zakat administration issues pertaining to Islamic law but traditions remain under the jurisdiction of states. The practice of zakat is based on the Shariah while the taxation practice is based on the Malaysian Income Tax Act, established in 1967. Zakat is used as a fiscal policy tool whereby income tax payers were given 100 per cent rebates on zakat that they paid. The study uses panel data of states in Malaysia Peninsula and the analysis is done by using the fixed effect model. The study finds that zakat has a positif impact and significant on tax revenue.

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.

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