scholarly journals Pengaruh Inflasi, Produk Domestik Regional Bruto Dan Investasi Terhadap Pengangguran Terdidik Di Provinsi Aceh

2020 ◽  
Vol 9 (2) ◽  
pp. 26
Author(s):  
Linda Wahyuni ◽  
Murtala Murtala
Keyword(s):  
Panel Data ◽  
Regression Method ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province ◽  
Independent Variable ◽  
The Government ◽  
The Relationship

This study aims to analyze the effect of inflation, GDP, and investment on educated unemployment in Aceh province from 2008 to 2018. The data used in this study are Panel data. The method used to analyze the relationship between the independent variable and the dependent variable is the panel data regression method. The results partially show that inflation has a positive and significant effect on educated unemployment in the Government of Aceh Province, PDRB has a positive and significant effect on educated unemployment in the Government of Aceh Province, and Investment has a negative and significant effect on educated unemployment in the Government of Aceh Province. Simultaneously, Inflation, GRDP, and Investment have a negative and significant effect on Educated Unemployment in the Government of Aceh Province

scholarly journals How is Size Related to Profitability? Post-Consolidation Evidence from Selected Banks in Nigeria

2016 ◽  
Vol 5 (4) ◽  
pp. 30-38 ◽  
Author(s):  
Funso Kolapo ◽  
Lawrence Ajayi ◽  
Olufemi Aluko
Keyword(s):  
Panel Data ◽  
Firm Size ◽  
Negative Relationship ◽  
Regression Method ◽  
Return On Assets ◽  
Bank Profitability ◽  
Panel Data Regression ◽  
Data Regression ◽  
Firm Profitability ◽  
The Relationship

It is theoretically believed that increase in firm size would result to increase in firm profitability. Therefore, this study examines the relationship between size and profitability of six banks in Nigeria after the 2005 consolidation exercise. The measure of profitability is return on assets. Employing the static panel data regression method, the study found that size has an insignificant negative relationship with bank profitability. This study concludes that the 2005 consolidation exercise did not enhance the profitability of the selected banks.

scholarly journals Idiosyncratic Risk and Firm Characteristics on Islamic Stocks of Four Asean Countries 2005–2017

2021 ◽  
Vol 21 (3) ◽  
pp. 1226-1238
Author(s):  
Putri Utami ◽  
Muhammad Budi Prasetyo
Keyword(s):  
Panel Data ◽  
Global Financial Crisis ◽  
The United States ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Firm Characteristics ◽  
Panel Data Regression ◽  
Data Regression ◽  
Asean Countries ◽  
The Relationship

This research investigates idiosyncratic volatility in the Islamic stock of four ASEAN countries, namely Indonesia, Malaysia, Singapore, and Thailand for 2005–2017. The volatility will be analyzed based on the idiosyncratic volatility levels of each country. Furthermore, firm characteristics will be used to determine their relationship to the idiosyncratic volatility movement. This study used the Fama-French Three-Factor model for obtaining the realized value of idiosyncratic volatility. Furthermore, a panel data regression is used to estimate the relationship between firm characteristics and idiosyncratic volatility. The results of this research suggest that mean value of idiosyncratic risk in the Islamic stock of ASEAN countries is below the non-Islamic stock in the United States but above non-Islamic stock in Hong Kong. Meanwhile, after the global financial crisis of 2008, the relationship between return and idiosyncratic risk of Islamic stock changed in all four countries. Panel data regression of firm characteristics shows that firm size is significantly negative in all four countries, while share turnover is insignificant to idiosyncratic volatility.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk di Kota Semarang Menggunakan Metode Regresi Data Panel

2019 ◽  
Vol 12 (2) ◽  
pp. 36-41
Author(s):  
Prizka rismawati Arum
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Geographical Area ◽  
Random Effect Model ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Number Of Births

Residents are all people who live in the geographical area of Indonesia for six months or more and or those who have been domiciled for less than six months but aim to settle. Population growth is caused by two components, namely: fertility and mortality. To find out how big the relationship between the  population and the number of births and deaths in each sub-district of Semarang, must observed in several specific time periods and places at once. So in this study, the panel data regression method was used. In panel data regression testing, the results show that the panel data regression model formed to determine the factors that influence the level of population is the random effect model. In this model all assumptions are fulfilled. Significant factors affecting population are number of births. Births and deaths affect the population of 99.95% and the remaining 0.05% is influenced by other factors not examined Penduduk adalah semua orang yang berdomisili di wilayah geografis Indonesia selama enam bulan atau lebih dan atau mereka yang berdomisili kurang dari enam bulan tetapi bertujuan menetap. Pertumbuhan penduduk diakibatkan oleh dua komponen yaitu: fertilitas dan mortalitas. Untuk mengetahui seberapa besar keterkaitan antara jumlah penduduk dengan jumlah kelahiran dan kematian di setiap kecamataan Kota Semarang, harus diamati dalam beberapa periode waktu tertentu dan beberapa tempat secara bersamaan. Sehingga dalam penelitian ini digunakan metode regresi data panel. Dalam pengujian regresi data panel, didapatkan hasil bahwa Model regresi data panel yang terbentuk untuk mengetahui faktor-faktor yang mempengaruhi tingkat jumlah penduduk adalah model random Effect. Pada model tersebut semua asumsi terpenuhi. Faktor yang signifikan mempengaruhi jumlah penduduk adalah jumlah kelahiran. Kelahiran dan kematian mempengaruhi jumlah penduduk sebesar 99.95% dan sisanya sebesar 0.05% dipengaruhi oleh faktor- faktor lain yang tidak di teliti.    

scholarly journals Indonesian Clove Competitiveness and Competitor Countries in International Market

2020 ◽  
Vol 9 (1) ◽  
pp. 39-54
Author(s):  
Adnan Putra Pratama ◽  
Dwidjono Hadi Darwanto ◽  
Masyhuri Masyhuri
Keyword(s):  
Panel Data ◽  
Sri Lanka ◽  
Market Share ◽  
Secondary Data ◽  
International Market ◽  
Panel Data Regression ◽  
Data Regression ◽  
The World ◽  
The Government ◽  
Star Position

Trade liberalization is currently demanding every country to increase the competitiveness of its products. Indonesia as the largest clove producer in the world has a major competitor in the international market. This study aims to determine the competitiveness of Indonesia's clove exports and competing countries in the international market and determine the factors that affect its competitiveness. The data used in this study are secondary data from five major producing countries namely Indonesia, Madagascar, Tanzania, Sri Lanka, and Comoros during the period 2000-2017 sourced from UNComtrade, FAO and the World Bank. Competitiveness is measured by Revealed Comparative Advantage (RCA), Acceleration Ratio (AR) and Export Product Dynamic (EPD) while the factors that affect competitiveness are used panel data regression methods using E-Views software. The results showed that Indonesia had the lowest RCA index, the AR value showed Madagascar and Tanzania were able to capture market share in the international market and the EPD value showed that all countries occupied the rising star position except Sri Lanka in the falling star position. Panel data regression analysis results show that the market share and GDP variables significantly influence the competitiveness of the main clove producing countries while the production variables and export prices do not significantly influence the country's competitiveness. The government must dare to take policies to limit clove imports and increase exports.

scholarly journals PANEL DATA REGRESSION ANALYSIS FOR FACTORS AFFECTING INFANT MORTALITY RATE IN EAST JAVA 2013-2017

2021 ◽  
Vol 16 (3) ◽  
pp. 437
Author(s):  
Faishal Azhar Wardhana ◽  
Rachmah Indawati
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Data Availability ◽  
Infant Mortality Rate ◽  
Complete Coverage ◽  
Cross Sectional ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Government

ABSTRACTThe escalating infant mortality rate (IMR) in Indonesia has not been able to fulfill the target of Sustainable Development Goals (SDGs) that restrict the limit of IMR to just 12 of 1,000 live births. According to such fact, this research was designed as the application of panel data regression in an IMR case study of East Java from 2013–2017. Regression panel data enable research in describing cross-sectional and time series information. The variety of data availability in this method were capable of producing a high degree of freedom, allowing it to meet the prerequisites and statistical properties. This method was considered the most suitable one for analyzing the rising IMR. This research was classified as non-reactive research. All regencies/cities in East Java served as this study’s population. Data collection included K4 coverage, childbirth assistance, and KN complete coverage. The result of panel data regression showed a significant connection between K4 coverage (0.0230), childbirth assistance (p = 0.0105), and KN complete coverage (0.0205). Adjusted R-Square value was obtained with an amount of 80%, which means that all independent variables were able to explain the dependent one of that value, while the remaining were explained by other factors. This study can provide some suggestions to support IMR in East Java, including handling from the government or related pregnant families to support IMR on an ongoing basis. Keywords: panel data regression, IMR, K4, childbirth assistance, KN complete

scholarly journals Cadangan Emas, Harga Emas dan Stabilitas Mata Uang di Negara Islam

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Arina Azwani
Keyword(s):  
Exchange Rate ◽  
Regression Method ◽  
Gold Price ◽  
Paper Currency ◽  
Panel Data Regression ◽  
Data Regression ◽  
Islamic Countries ◽  
The Government ◽  
The Impact ◽  
Observation Period

This study ained to determine ‘the impact of gold reserves accumulation and gold price against exchange rate stability in USD. Observation on four Islamic countries in the world, Malaysia, Qatar, Indonesia and Pakistan that incorporated in OIC (Organization of Islamic Coorporation) with observation period within 18 years from 2000 – 2017 by using panel data regression method. Based on result of partial test, gold reserves does not have positive significant effect against exchange rate while gold price have positive significance effect against exchange rate to four selected Islamic countries. The result on this study want to be more encouraging the government especially in four Islamic countries to increase the stock of gold reserves because of the commodity and the value of gold that proven stable and to apply monetary policy based on Dinar Dirham rather than paper currency, the development of the current currency does not guarantee for economy’s stability, and the value of gold was clearly proven during time of Prophet Muhammad and has been explained in Al-Qur'an and As-Sunnah.

Islamic banks’ fee income, characteristics and risk: Panel data analysis evidence from Indonesia

2018 ◽  
Vol 6 (1) ◽  
pp. 6 ◽  
Author(s):  
Siti Sarah Mat Isa ◽  
Masturah Ma’in ◽  
Azlina Hanif
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Operating Income ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Us ◽  
The Relationship

One of the non-operating income in Islamic banking operation, which is fee income has become progressively vital in expanding their income to counter decreasing net earnings due to rivalry from other financial competitors. However, it is important for Islamic banks to find out any potential risk that will distress their performance due to this activity. This is because, mixed results on this issue derived from the previous studies especially in the Western context such as in the US, Germany and other European countries. Using Indonesian Islamic bank’s quarter data between 2009 and 2013, this study adopts the panel data regression analysis to examine the relationship between Indonesian Islamic banks fee income and risk. The empirical results signified that fee income activities able to reduce Indonesian Islamic bank’s risk.  

scholarly journals Capital Structure of Companies Listed at the Warsaw Stock Exchange and the COVID-19 Pandemic Effect on Their Risk

2021 ◽  
Vol 4 (32) ◽  
pp. 153-166
Author(s):  
Jerzy Gajdka ◽  
Marek Szymański
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Financial Management ◽  
Stock Exchange ◽  
Idiosyncratic Risk ◽  
Total Risk ◽  
Panel Data Regression ◽  
Data Regression ◽  
Warsaw Stock Exchange ◽  
The Relationship

Subject: The financial management of companies is examined in the context of the COVID-19 pandemic. Specifically, the relationship between their capital structure and risk changes during the pandemic is scrutinised. The purpose of the article: To determine how companies’ total, systematic and idiosyncratic risks changed during the COVID-19 pandemic depending on their capital structure based on a sample of organisations listed at the Warsaw Stock Exchange. Methodology: The study involves the use of a panel data regression model. Results of the research: The COVID-19 pandemic had an impact on the risk of overleveraged companies and underleveraged ones alike. Its influence on their total risk was weaker among the underleveraged organisations. Regarding systematic risk, its levels did not generally change significantly in the wake of the pandemic, but idiosyncratic risk, only in the case of the overleveraged companies increased statistically significantly.

scholarly journals THE EFFECT OF SPIN-OFF POLICY AND MACROECONOMIC FUNDAMENTAL FACTORS ON THIRD PARTY FUNDS AT SHARIA GENERAL BANKS

2021 ◽  
Vol 5 (1) ◽  
pp. 08-22
Author(s):  
Fatima Tuzzahara Alkaf ◽  
Nana Nawasiah
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Third Party ◽  
Financial Report ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Report Data ◽  
The Government

In enhancing the development of Islamic banking, the government issued Law No. 21 of 2008 concerning spin-off. With this policy, it is expected that Islamic Commercial Banks will develop. This study aims to implement panel data regression to examine in depth the influence of spin-off policy and macroeconomic fundamental factors on third party funds of Sharia General Banks. Sampling by purposive sampling, six (6) Sharia General Banks that have conducted spin-offs and financial report data from 2014-2018. The Chow Test and the Hausman Test show that the panel data regression model that matches the variable data used in 2014-2018 is the Random Effect Model (REM). Empirical results show that during the 2014-2018 period, the spin-off policy and macroeconomic fundamental factors had a significant effect on the bank's third-party funds simultaneously. Partially, only the spin-off policy has a significant effect on third party funds.

scholarly journals Emprical Analysis of Competition Dynamics in Turkish Banking via Competition Determination Approaches

2013 ◽  
Author(s):  
Utku Altunöz
Keyword(s):  
Panel Data ◽  
Market Structure ◽  
Banking Sector ◽  
Banking System ◽  
Regression Method ◽  
Competitive Behavior ◽  
Market Conditions ◽  
Business World ◽  
Panel Data Regression ◽  
Data Regression

Due to the complex and close interaction of banks with other economic units, any trouble in banking sector might have repercussion on the whole economy which makes the market structure and competition in banking sector as a cynosure. Business world is facing gradually increasing competition. It seems that the existence of firms depends on the power and the advantage of their competitiveness. The purpose of this study is to analyze the competition structure and the market conditions of Turkish banking system. despite the existence of a number of studies about competition in banking sector, there is still a lack of the studies which has been done with Lerner's Index. Due to this fact, Lerner’s Indeks is used in this study. Bank level determinants of Lerner Index is analysed using Panel Data Regression Method and was reached to factors effecting competitive behavior in Turkish Banking Sector.

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