scholarly journals Kondisi Makro Ekonomi Terhadap Hasil Investasi Asuransi Jiwa Syariah di Indonesia

2017 ◽  
Vol 4 (10) ◽  
pp. 773
Author(s):  
Firsty Dzanurrahmana Zein ◽  
Atina Shofawati
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Significant Influence ◽  
Life Insurance ◽  
Quantitative Methods ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Significance Level ◽  
Effect Model

This research attempt to analyze the effect of variable inflation, Rupiah exchange rate, and gross domestic product towards investment result of sharia life insurance in Indonesia period 2012:Q1 until 2016:Q1. This research using quantitative methods. The analysis techniques used is multiple linear regression with data panel and significance level of 0,05. The approach used in this research is Random Effect Model. The result of t-test, gross domestic bruto has a significant influence to investment result of sharia life insurance with 0,0459. Inflation and Rupiah exchange rate has not significant influence to investment result of sharia life insurance. However, inflation, Rupiah exchange rate and gross domestic product simultaneously provide a significant effect to Investment result of sharia life insurance.

DETERMINANTS OF INDONESIA’S EXPORTS OF MANUFACTURED PRODUCTS: A PANEL DATA ANALYSIS

2016 ◽  
Vol 10 (2) ◽  
pp. 187-202
Author(s):  
Ahmad Sohibil Kahfi
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Panel Data ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Real Gdp ◽  
Effect Model

Nilai ekspor Indonesia terus mengalami penurunan sejak 2012. Masalah ini menarik perhatian pemerintah Indonesia untuk segera meningkatkan performa ekspor, dimana salah satu sektor yang dapat ditingkatkan adalah sektor manufaktur. Studi ini menganalisis faktor penentu ekspor manufaktur di Indonesia sejak 2005 sampai 2014. Faktor utama yang dianalisis antara lain adalah nilai tukar rupiah, foreign direct investment (FDI), gross domestic product (GDP), dan kebijakan perdagangan. Faktor tersebut dianalisis menggunakan regresi data panel dengan pendekatan random effect model. Hasil dari analisis menunjukkan bahwa perubahan relatif dari nilai tukar, real GDP, jarak dua negara, dan tarif secara signifikan memengaruhi ekspor manufaktur di Indonesia. Beberapa rekomendasi terkait untuk pemerintah Indonesia antara lain adalah dengan menjaga ekspor Indonesia ke negara-negara yang memiliki GDP tinggi, memperluas pasar ekspor Indonesia, menjaga stabilitas nilai tukar rupiah, mendukung industri lokal menggunakan teknologi maju, dan mendukung penyederhanaan proses impor. Indonesia’s export has been decreasing since 2012. This problem has raised government’s attention to increase the export performance. One sector that can be improved is manufacturing. This study analyzes the determinants of Indonesia’s manufacturing export from 2005 to 2014. The major factors examined in this study include real exchange rate, foreign direct investment (FDI), gross domestic product (GDP) and trade policies. Those factors are examined by using panel data regression with a random effect model. The results revealed that relative change of exchange rate, real GDP, distance between two countries and average tariffs significantly affected the Indonesia’s manufacturing export. It is recommended that Indonesian government maintains the exports to countries which have high GDP, expand the export market, stabilize Rupiahs exchange rate, encourage local industries to use advanced technologies, and facilitate the simplification of import procedures.

Pengaruh Pertumbuhan Ekonomi, Foreign Direct Investment dan Tax Rate Terhadap Penerimaan PPh Badan Negara ASEAN

2020 ◽  
Vol 5 (4) ◽  
pp. 325-342
Author(s):  
Merry Inriama ◽  
Milla Sepliana Setyowati
Keyword(s):  
Foreign Direct Investment ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Domestic Product ◽  
Tax Rate ◽  
Effect Model

Keterbukaan perekonomian menjadi penentu yang penting dalam pertumbuhan ekonomi. Kondisi perekonomian suatu negara dapat memberi dampak terhadap penerimaan sektor perpajakan. Hal ini dapat dilihat dari salah satu penerimaan pajak suatu negara yaitu melalui penerimaan PPh Badan. Tujuan dalam penelitian ini adalah untuk menganalisis pengaruh pertumbuhan ekonomi yang diukur dengan Gross Domestic Product (GDP), Foreign Direct Investment (FDI), dan Tax Rate terhadap besarnya penerimaan PPh Badan (CIT) dalam kasus lima negara ASEAN selama periode 1999-2018. Metode penelitian ini dilakukan dengan menggunakan regresi data panel dengan estimasi Random Effect Model atau Generalized Least Square (GLS) dengan program Eviews. Hasil penelitian ini secara simultan menunjukkan bahwa variabel independen yaitu GDP, FDI, dan tax rate memiliki pengaruh yang signifikan terhadap variabel dependen yaitu penerimaan PPh Badan (CIT). Secara parsial PDB dan tax rate memiliki pengaruh positif dan signifikan yang artinya kenaikan atau penurunan GDP dan tax rate akan mempengaruhi kenaikan atau penurunan penerimaan PPh Badan (CIT), sedangkan FDI tidak memiliki pengaruh terhadap penerimaan PPh Badan (CIT). Melalui penelitian ini diharapkan dapat mengukur variabel-variabel yang memiliki pengaruh terhadap penerimaan PPh Badan, sehingga penerimaan PPh Badan dapat ditingkatkan.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO (PDB) DAN INDEKS PEMBANGUNAN MANUSIA (IPM) TERHADAP ANGKA KEMISKINAN DI INDONESIA

2010 ◽  
Vol 8 (2) ◽  
pp. 357
Author(s):  
Muhammad Sri Wahyudi Suliswanto
Keyword(s):  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Influence ◽  
Domestic Product ◽  
Development Index ◽  
Effect Model ◽  
Independent Variable

Poverty is classic issue faced by most developing countries and is one of economic indicators to view public welfare level in any region. The research aimed to analyze effect of Gross Domestic Product (GDP), and human development index on poverty in Indonesia. Analysis used quantitative with Random Effect Model (REM) method in Panel Data with time series year 2006 to 2008. Anaysis result concluded that all independent variable simultaneously had significant effect on poverty variable in Indonesia and partially Gross Domestic Product (GDP) variable had significant negative influence on poverty with α 20%, and Human Development Index (HDI) variable had significant negative influence on poverty with α 5%.

Pengaruh Variabel Makroekonomi dan Variabel Spesifik Bank Terhadap Non Performing Financing Pada Bank Umum Syariah dan Unit Usaha Syariah di Indonesia Periode 2013-2014

2015 ◽  
Vol 2 (6) ◽  
pp. 512
Author(s):  
Daisy Firmansari ◽  
Noven Suprayogi
Keyword(s):  
Linear Regression ◽  
Gross Domestic Product ◽  
Commercial Bank ◽  
Significant Influence ◽  
Quantitative Methods ◽  
Secondary Data ◽  
Domestic Product ◽  
Business Unit ◽  
Significance Level ◽  
Quarterly Data

This research attempt to analyze the effect of variable gross domestic product (GDP), inflation and financing to deposit ratio (FDR) to non performing financing (NPF) of Islamic Commercial Bank and Islamic Business Unit in Indonesia. This research using quantitative methods. The study is based on quarterly data for the period 2003-2014. Typed of data used are the secondary data from official website Indonesian Bank and Bureau Statistic Center. The analytical methods used in this study is the method of multiple linear regression with a significance level of 0,05.The result of this research indicate that gross domestic product and inflation partially provide a significant influence to non performing financing. Only financing to deposit ratio have an insignificant influence to non performing financing. However, gross domestic product, inflation and financing to deposit ratio simultaneously provide a signification effect to non performing financing.

scholarly journals The relationship between Gross Domestic Product and Human Development Index: Evidence from 11 Middle East countries

2020 ◽  
Vol 1 (2) ◽  
pp. 41-48
Author(s):  
Sadam Hussain ◽  
Alireza Nasiri ◽  
Muhammad Shahid Akram ◽  
Fatima Zahra
Keyword(s):  
Middle East ◽  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Development Index ◽  
Middle East Countries ◽  
Effect Model

This study explores the nexus between Gross Domestic Product and the Human Development Index in the case of eleven selected Middle East countries. Panel data has been utilized from the period of 1991-2017. By using fixed and random effect models, the Human Development Index is taken as a dependent variable and gross domestic product, population, unemployment and inflation as independent variables. The result supports the random-effect model. The finding shows that the Human Development Index has a negative and significant relationship between Gross Domestic Product and Inflation. With the dependent variable, the population has an insignificant relation. Moreover, unemployment has a positive relationship with the Human Development Index.  

scholarly journals Faktor-Faktor yang Mempengaruhi Persentase Penduduk Miskin di Indonesia Tahun 2015-2018 Menggunakan Regresi Data Panel

2020 ◽  
Vol 2 (2) ◽  
pp. 55-63
Author(s):  
Ian Tryaldi Halim ◽  
Annisa Putri Ramadhanty ◽  
Dewi Retno Oscarini ◽  
Galang Madya Putra ◽  
Helen Fricylya Br Tobing ◽  
...  
Keyword(s):  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Poor People ◽  
Development Index ◽  
Effect Model ◽  
Poor Population

Indonesia as a country rich in natural resources has not been able to make it as a country that is free from poverty. The percentage of poor people in Indonesia is still high, is still less efficient, the government's policy in alleviating poverty. This can be seen from the increase in the human development index, gross domestic product and the number of health facilities that are not counted by reducing the percentage of the poor population. The purpose of this study is to describe the percentage of poor people in Indonesia and to analyze the factors that influence the percentage of poor people in Indonesia. This study uses panel data regression analysis using the Random Effect Model (REM) method. The results showed the regional gross domestic product and the level of openness significantly open to the percentage of Indonesia's poor population. While the human development index and the amount of health development are not significant to the percentage of poor people in Indonesia. From the results of this study, Indonesia can optimize employment opportunities that can be released so that it can improve the state of the country. This implementation is expected to increase the number of poor people in Indonesia which can be significant.

scholarly journals Analisis Determinan Tingkat Proporsi Dana Tabarru’ Pada Asuransi Jiwa Syariah

2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Nuraini Nuraini ◽  
Mustafa Kamal
Keyword(s):  
Exchange Rate ◽  
Significant Influence ◽  
Life Insurance ◽  
Inflation Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Sampling Technique ◽  
Insurance Companies ◽  
Estimation Model ◽  
Final Sample

This research aims to determine influence of the claim risk, retakaful contribution, operating expenses, exchange rate, inflation rate and BI rate toward proportion of tabarru’ funds on Islamic life insurance companies. Sampling is done by purposive sampling technique to get 138 data from different starting ranges data and periods, with the final sample of 23 Islamic life insurance companies during 2010-2017. The method of analysis used in this research is multiple linear regression using unbalanced panel data that processed by using Eviews 9. The result showed that the best estimation model for this research is Random Effect Model (REM). Simultaneously all of the independent variables have significant influence towards proportion of tabarru’ funds. While partially, claim risk has positive significant, retakaful contribution and operating expenses has negative significant influence towards proportion of tabarru’ funds. As for the macroeconomic variables, namely exchange rate, inflation rate and BI rate have no significant influence towards proportion of tabarru’ funds

scholarly journals ANALISIS PENGARUH JUMLAH PENDUDUK, PENDIDIKAN, UPAH MINIMUM DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP JUMLAH PENGANGGURAN DI KABUPATEN DAN KOTAPROVINSI JAWA TIMUR TAHUN 2010-2014

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Trianggono Budi Hartanto
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Minimum Wage ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Population Education ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

AbstractThis research aims to analyze the impact of variable population, education (Means Years School), minimum wage and gross domestic regional product on unemployment in district and cities East Java from 2010 to 2014. The analytical method used panel data regression (pooled data) with the Random Effect Model approach. Results of panel data regression analysis in this research showed population, education (means years school), minimum wage and regional gross domestic product is simultaneously significant positive effect on unemployment in distric and cities East Java. Partially, population, education (means year school) and regional gross domestic product is significant and positive impact on unemployment, while minimum wage has no significant impact on unemployment in distric and cities East Java. Keywords : Unemployment,  Population,  Education,  Minimum  Wage,  Gross Domestic Regional Bruto (GDRP) Research Area: District and City East Java

scholarly journals PENGARUH NILAI TUKAR, INFLASI, VOLUME PERDAGANGAN, DAN DIVIDEND PAYOUT RATIO TERHADAP SHARE PRICE VOLATILITY PADA PERUSAHAAN YANG TERDAFTAR DALAM INDEKS KOMPAS100 TAHUN 2014 – 2018

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mastura Mastura
Keyword(s):  
Exchange Rate ◽  
Data Analysis ◽  
Trading Volume ◽  
Random Effect ◽  
Random Effect Model ◽  
Price Volatility ◽  
Sampling Technique ◽  
Share Price ◽  
Dividend Payout ◽  
Effect Model

This research aims to analyze partial and simultaneous influence between exchange rate, inflation, trading volume, and dividend payout ratio to share price volatility in Kompas100 index. This research uses 23 companies listed in Kompas100 index as a research sample during the period of 2014 to 2018, where sampling uses purposive sampling technique. In order to analyze, and test each research hypotheses, the technique used is panel data regression using the random effect model. The results of data analysis show that partially, the excgange rate, inflation, and trading volume have a positive and significant effect to share price volatility while the dividend payout ratio has a negative and significant effect to share price volatility. the results of data analysis show simultaneously, the exchange rate, inflation, trading volume, and dividend payout ratio have significant influence to share price volatility. The amount of testing the coefficient of determinastion (adjusted R square) is 0.416174, indicating that dependen variable which is share price volatility can be explained by independent variables those are exchange rate, inflation, trading volume, and dividend payout ratio was 41.6%, while 58.4% can be explained by the other variables outside the models     

scholarly journals Determinant of Sesame Export Performance in Ethiopia: A Panel Gravity Model Application

2020 ◽  
Vol 8 (3) ◽  
pp. 714
Author(s):  
Murad Mohammed Baker ◽  
Beyan Ahmed Yuya
Keyword(s):  
Gross Domestic Product ◽  
Gravity Model ◽  
Unit Root ◽  
Export Performance ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Real Gross Domestic Product ◽  
Determinant Factors ◽  
The Government

Ethiopia’s sesame export earn percentage share in the total export had been rapid declining over the last decades while it was the second commodity in currency grossing of the country. The objective of this study was to examine the determinant factors of Ethiopia’s sesame exports performance, in the aspect of export trade, by the use of a more realistic model approach, a panel gravity model. It used short panel data that cover 11 countries of consistent Ethiopia’s sesame importers for the period of 13 years from 2002 to 2014. The panel unit root test of Levin-Lin-Chu was used for each variable and applied the first difference transformation for the variables that had a unit root. The random effect model results suggested that real gross domestic product of importing countries; Ethiopian real gross domestic product, real exchange rate and weighted distance were found to be the determinant factors of Ethiopia’s sesame exports performance. The estimated results revealed that as real gross domestic product of importing countries increase by 1%, the flows of Ethiopia’s sesame exports performance increase by 1.63%. Based on the finding results, the researcher recommends that the policy maker must adopt the policies that reduce the cost of shipping through improving the infrastructure for shipments sector and contract a free trade agreement with distant countries. The government should encourage the private sector to diversify their products and improving the quality of its products to increase the competitiveness the Ethiopian products in foreign markets.

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