scholarly journals PENGARUH KINERJA KEUANGAN DAN KINERJA LINGKUNGAN TERHADAP NILAI PERUSAHAAN PERTAMBANGAN DI ISSI PERIODE 2013-2017

2020 ◽  
Vol 6 (9) ◽  
pp. 1795
Author(s):  
Lidia Ralina ◽  
Ari Prasetyo
Keyword(s):  
Firm Value ◽  
Time Series Data ◽  
Random Effect ◽  
Social Reporting ◽  
Series Data ◽  
Estimation Model ◽  
Current Ratio ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression

This study analyzed the influence of Islamic Social Reporting (ISR), Return on Asset, and Current Ratio on the value of the companies which were registered in ISSI in 2013-2017. This research used panel data regression analysis to combine time series data and cross section data. The results of the research with estimation model of Random Effect showed that ISR, ROA and CR partially had significant effects on the value of the company. ISR, ROA and CR silmutanously affect on the value of the mining companies registered in ISSI 2013-2017.Keywords: Islamic Social Reporting, Return on Asset, Current Ratio, and Firm Value

scholarly journals The Effect of Ownership Structure on Financial Performance in Lippo Group Company

2021 ◽  
Vol 1 (3) ◽  
pp. 245-249
Author(s):  
Ristati ◽  
Raihan Cahaya ◽  
Nurlela ◽  
Ghazali Syamni ◽  
Zulham Ibrahim
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Ownership Structure ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Series Data ◽  
Analysis Method ◽  
Estimation Model ◽  
Section Data

This study examined the effect of Ownership Structure on Financial Performance at Lippo Group companies in Indonesia from 2015 to 2019. The number of samples in this study was 14 companies and 60 observations. The data were accessed on www.idx.go.id. The data used in this study was panel data or a combination of cross-section data and time-series data. The data analysis method in this research was the Panel Data Regression analysis method with panel estimation model Random Effect Model. The results showed that Managerial ownership and institutional ownership had a negative and significant effect on financial performance.

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYERAPAN TENAGA KERJA DI PROVINSI JAWA TENGAH

2021 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Shafa Nanda Puspita ◽  
Sri Maryani ◽  
Herry Purwantho
Keyword(s):  
Time Series Data ◽  
National Income ◽  
Series Data ◽  
Section Data ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression ◽  
Lm Test ◽  
Selection Test ◽  
Central Java Province

Labor absorption is an important factor in supporting economic development through national income. The low level of employment is still a problem in various regions in Indonesia, especially in Central Java Province. The problem of employment, can be overcome by maximizing the factors that affect the increase in labor absorption. Therefore, it is necessary to analyze the factors that are thought to affect the increase in labor absorption. This study aims to analyze the factors that influence labor absorption in Central Java Province. This study uses a descriptive quantitative approach with a panel data regression model. The best model selection test used is the Chow test, Hausman test, and Lagrange Multiplier test (LM) Test which was carried out using the Eviews 9 software. This study uses cross section data from 35 districts/cities in Central Java Province and time series data on the number of workers, labor force, unemployment, minimum wages, and GRDP of each district/city for the 2015-2020 period. The results of the discussion show that simultaneously and partially the number of workers, the number of the workforce, the number of unemployed, the minimum wage, and GRDP have an effect on the absorption of labor in Central Java Province.

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals Pengaruh Current Ratio, Debt To Equity Ratio Dan Price Book Value Terhadap Harga Saham Pada Sub Sektor Transportasi Yang Terdaftar Di Bei Periode 2012-2016

2018 ◽  
Vol 23 (3) ◽  
pp. 403
Author(s):  
Sri Anah, Iwan Firdaus, Erna Alliffah
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Random Effect ◽  
Sample Selection ◽  
Current Ratio ◽  
Book Value ◽  
Panel Data Regression ◽  
Data Regression ◽  
Equity Ratio ◽  
Partial Current

This research is to find out the influence of current ratio, debt to equity ratio, and price book value to stock price on companies listed in Indonesia Stock Exchange transportation sub sector. The sample selection in this research using purposive sampling. The research data is obtained from Indonesia Stock Exchange. The method used in this research is panel data regression analysis and it is found that the more appropriate model used is random effect. From result of research got partially show that price book value variable have positive and significant effect to stock price. However, the partial current ratio variable have positive and no significant effect on the stock price and the variable of debt to equity ratio partially have negative and no significant effect on the stock price.

scholarly journals PENGARUH CURRENT RATIO, DEBT TO EQUITY RATIO, DAN EARNING PER-SHARE TERHADAP HARGA SAHAM

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Arry Widodo ◽  
Renda Puspita Dewi
Keyword(s):  
Stock Prices ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Share Price ◽  
Current Ratio ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Equity Ratio

This study also aimed to determine the effect of Current Ratio (CR), Debt to Equity Ratio (DER), and Earning per Share (EPS) to the Price Stock either partially or simultaneously. Secondary data collected based on time series and cross section from the 2008-2012 from 26 companies Costumer Goods sector. By using panel data regression analysis techniques and the Chow test and Hausman test shows that the model used in the estimation of the data is the Random Effect Model. The results showed that the independent variables, EPS significant effect on stock prices. While CR and partially DER no significant effect on stock prices. Simultaneously, CR, DER, and EPS significant effect on stock prices. Keywords: Current Ratio, Debt to Equity Ratio, Earnings per Share, Price Stock

Corporate Diversification and Firm Value in Financial Crisis in Vietnam

2017 ◽  
Vol 33 (4) ◽  
Author(s):  
Nguyen Kim Duc ◽  
Nguyen Thi Hong Nhung ◽  
Tran Vu Quynh Nhu
Keyword(s):  
Financial Crisis ◽  
Firm Value ◽  
Random Effect ◽  
Random Effect Model ◽  
Corporate Diversification ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Industrial Level ◽  
Diversified Firms

This research aims at assessing the relationship between corporate diversification and firm value ​​in the time of financial crisis in Vietnam. The research sample consists of 42 Vietnamese non-financial enterprises listed on HoSE from the first quarter of 2008 to the fourth quarter of 2011. We used two methods to estimate panel data regression: (1) Regression Method Pooled OLS and (2) Random Effect Model (REM). The results show that: (1) There is relationship between corporate diversification and firm value, however, corporate diversification should be implemented at either national or industrial level; (2) The financial crisis doesn’t dominanate this relationship and the implementation of diversification will contribute to improving the relative valuation of diversified firms in Vietnam regardless of financial crisis. This empirical result will help Vietnamese enterprises have a reference for considering and making decision related to corporate diversification.

Analisis Desentralisasi Fiskal terhadap Belanja Modal Pemerintah Daerah di Indonesia

2019 ◽  
Vol 3 (2) ◽  
pp. 104
Author(s):  
Hady Sutjipto ◽  
Stania Cahaya Suci ◽  
Yogi Sabarudin Umbara
Keyword(s):  
Panel Data ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Panel Data Analysis ◽  
Fixed Effect Model ◽  
Series Data ◽  
Estimation Model ◽  
Section Data ◽  
Fiscal Autonomy ◽  
Directorate General

The aims of this study to determine the effect of the degree of fiscal autonomy, regional financial dependence, and population on capital expenditure of 34 provinces in Indonesia.  The Methodolody in this study employs panel data analysis method with fixed effect model (FEM) estimation model. Determination of samples based on panel data consisting of time series data for period 2014-2017 and cross section data of 34 Provinces in Indonesia. The data was obtained from the Central Statistics Agency and the Directorate General of Financial Balance.The results shows that (1) the degree of fiscal autonomy, regional financial dependence, and the population have a positive and significant effect on capital expenditure (2) the degree of fiscal autonomy, regional financial dependence, and the total population have simultaneous effect on capital expenditures. 

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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