scholarly journals COMPARISON OF VILLAGE DEVELOPMENT BEFORE AND AFTER VILLAGE FUND IMPLEMENTATION IN NAGAN RAYA DISTRICT

2021 ◽  
pp. 18-35
Author(s):  
Arroyyan Ramly
Keyword(s):  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Primary Data ◽  
Series Data ◽  
P Value ◽  
Analysis Method ◽  
Effect Model ◽  
The Village

This study aims to analyze and see the effectiveness of the distribution of the use of village funds in Kuala Subdistrict, Nagan Raya Regency and its relationship with poverty levels. The data used is in the form of time series data from 2015 to 2018 which is collected through primary and secondary data. Primary data were obtained by directly visiting villages in the Kuala sub-district. Meanwhile, secondary data were obtained from the website of the Central Statistics Agency (BPS), document review, articles related to the object of research. This study conducted observations of 10 villages as a sample of 17 villages in Kuala District. The analysis method uses panel data regression with the random effect model (REM) analysis method. From the regression results of the random effect model, it was found that the village fund variable had a positive and significant effect on poverty with a probability of 0.0000 = p-value α = 5%. Then the village fund allocation variable has a significant negative effect on poverty with a probability of 0.0000 = p-value α = 5%. This means that adding 1% of village funds or increasing village funds will reduce poverty in Kuala Subdistrict, Nagan Raya Regency.

scholarly journals Pengaruh PDRB, UMK, Jumlah Penduduk dan Inflasi Terhadap Jumlah Pengangguran di 35 Kabupaten/Kota di Jawa Tengah Tahun 2011-2017

2020 ◽  
Vol 5 (1) ◽  
pp. 66-76
Author(s):  
Niken Dwi Lestari ◽  
Nenik Woyanti
Keyword(s):  
Panel Data ◽  
Minimum Wage ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Variable Number ◽  
Series Data ◽  
Effect Model

Economic growth can be used as a benchmark of the success of a region’s economic development. This study aims to analyze the effect of GRDP, minimum wage districs / cities, population and inflation variables on the number of unemployment in 35 districs / cities in Central Java Province in 2011-2017.The method which is used in this study is the panel data method, that is cross section data as many as 35 districts / cities and 7 years time series data with Random Effect Model (REM) approach. The type of data used is secondary data and data processing tools used are Eviews 9. The results of this study indicate that the gross regional domestic product (GRDP) variable has a positive and significant effect on the number of unemployment. The minimum wage districs / cities variable has a negative and significant effect on the number of unemployment. The variable number of population has a positive and significant effect on the number of unemployment. The inflation variable has a positive and insignificant effect on the number of unemployment.Keywords : Number Of Unemployment; GRDP; Minimum Wage Districts / Cities; Population; InflationPertumbuhan ekonomi merupakan suatu tolok ukur keberhasilan pembangunan ekonomi suatu daerah. Penelitian ini bertujuan untuk menganalisis pengaruh variabel PDRB, upah minimum kabupaten/kota, jumlah penduduk dan inflasi tehadap jumlah pengangguran di 35 Kabupaten/Kota di Provinsi Jawa Tengah tahun 2011-2017. Metode yang digunakan dalam penelitian ini adalah metode panel data yaitu data cross section sebanyak 35 kabupaten/kota dan data runtut waktu 7 tahun dengan pendekatan Random Effect Model (REM). Jenis data yang digunakan adalah data sekunder dan alat pengolah data yang digunakan adalah Eviews 9. Hasil dari penelitian ini menunjukkan bahwa variabel produk domestik regional bruto (PDRB) memiliki pengaruh positif dan signifikan terhadap jumlah pengangguran. Variabel upah minimum kabupaten/kota memiliki pengaruh negatif dan signifikan terhadap jumlah pengangguran. Variabel jumlah penduduk memiliki pengaruh positif dan signifikan terhadap jumlah pengangguran. Variabel inflasi memiliki pengaruh positif dan tidak signifikan terhdap jumlah pengangguran.Kata Kunci: Jumlah Pengangguran; PDRB; Upah Minimum Kabupaten / Kota; Jumlah Penduduk; Inflasi

GREEN GROWTH: IMPORTANT DETERMINANTS

2015 ◽  
Vol 60 (02) ◽  
pp. 1550014 ◽  
Author(s):  
GHULAM SAMAD ◽  
RABIA MANZOOR
Keyword(s):  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Developed Countries ◽  
Fixed Effect Model ◽  
Least Square ◽  
Series Data ◽  
Market Size ◽  
Green Growth ◽  
Effect Model

We discuss the important determinants requires to develop green patents, which eventually reinforce green growth. The theoretical framework examined four elements, the enforcement of intellectual property rights (IPRs), research and development (R&D) expenditures, market size and environmental taxations. We empirically test the green patent data to test the interrelationship of green patents representing the green innovations and IPR, R&D expenditures, market size and environmental taxations. Keeping in view the availability of the data we studied 11 developed countries, which are Austria, Australia, Canada, France, Japan, Finland, Germany, Sweden, U.K and U.S. The panel data can better handled the technological change rather than the pure cross section or pure time series data. Therefore, this study used the Pooled Least Square estimation techniques like Fixed Effect Model (FEM) and random effect model (REM) for both balance period of 1995–2010 and unbalanced period from 1995–2010. We only interpreted the balance period results depicting the enforcement of IPRs has negative and significant impact on green patents while the R&D expenditures, market size and environmental taxations has positive and significant impact on the green patents e.g. development of green innovations. We believe that the enforcement of explanatory variables will eventually acquire green growth.

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 Financial inclusion and it’s effect on poverty in Indonesia

2021 ◽  
Vol 16 (1) ◽  
pp. 97-108
Author(s):  
Thomas Andrian ◽  
Nurbetty Herlina Sitorus ◽  
Irma Febriana MK ◽  
Stefanus Willy Chandra
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Poverty Rate ◽  
Financial Inclusion ◽  
Analysis Method ◽  
Macroeconomic Variables ◽  
Effect Model ◽  
The Impact

This study aims to analyze and determine the impact of Financial Inclusion in Indonesia and other macroeconomic variables on poverty rate in Indonesia. This study uses secondary data. Analysis method with the Random Effect Model (REM) approach. The results of this study indicate that the variable Bank Service Offices per 1,000 km2 , Ratio of DPK, Ratio CRD have a negative and significant effect on poverty rate in 33 provinces in Indonesia in 2014-2018, and Unemployment Rate (UMP) has a positive and significant effect on poverty rate in 33 provinces in Indonesia in the 2014-2018 period. However, the variable Economic Growth and Inflation (INF) did not have a significant effect on poverty in 33 provinces in Indonesia in the 2014-2018 period. Measuring this dimension is still difficult to do and currently several international institutions were concerned about the development of financial inclusion. Keywords: Financial inclusion, Poverty rate, Economic growth

scholarly journals Determinant of Islamic Corporate Social Responsibility (ICSR) Disclosure in Companies Registered in Jakarta Islamic Index (JII)

2021 ◽  
Vol 1 (02) ◽  
pp. 105-115
Author(s):  
Ainul Fatha Isman ◽  
Nur Cholifatul Aeni
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Board Of Directors ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Influential Factor ◽  
Series Data ◽  
Effect Model ◽  
Corporate Social

Social aspects are important aspects that must be considered by every individual. Similarly, companies that must disclose social responsibility or what is called Corporate Social Responsibility (CSR) through the mandate of the Act. This research aims to determine the factors that affect the Islamic corporate social responsibility disclosure in Indonesia. This research is categorized in quantitative research with associative approaches. The population in this study amounted to 30 companies registered in the Jakarta Islamic Index in 2016-2018 with a purposive sampling technique to obtain 51 samples. The data analysis model in this study is a panel data linear regression test with a combination of time series data and cross-section which is carried out through three approaches, namely the common effect model, the fixed-effect model, and the random effect model. The results of this study indicate that partially and simultaneously the size of the company's profitability, and the Muslim board of directors influence the disclosure of the company's ICSR. The most influential factor in company ICSR disclosure is company size. The results of this study imply that each company uses the ISR Index as a reference for the preparation of sharia corporate social responsibility reporting standards and increases the number of Muslim board of directors who are competent and have innovative ideas to increase company assets, thus positively impacting ICSR disclosure.

scholarly journals Company Internal Factors and Their Influences on Financial Performance

2021 ◽  
Vol 3 (2) ◽  
pp. 177
Author(s):  
Lilis Renfiana ◽  
Yudhisthira Ardana
Keyword(s):  
Financial Performance ◽  
Firm Size ◽  
Time Series Data ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Series Data ◽  
Fixed Costs ◽  
Effect Model

This research aims to systematically, actual, and accurately explain the facts and characteristics of the company and their effect on financial performance. Data in the form of time-series data from 2015-2019 and cross-section data collected from the financial statements of automotive companies listed on the Indonesia Stock Exchange then obtained nine companies that meet the criteria. The independent variables are Firm Size, Leverage, Liquidity, and the dependent variable is financial performance as proxied by Return On Equity (ROA). The research used panel data techniques; Common Effect Model, Fixed Effect Model, and Random Effect Model. The results show that Firm Size partially has a negative and significant effect, meaning that the greater the assets owned by the company, the more complex the agency problems faced. The partial leverage variable has a negative and significant effect, means that the use of relatively high debt will cause fixed costs in the form of interest expenses and loan principal installments to be paid, the greater the fixed costs. The liquidity variable partially has a positive and insignificant effect. This means that changes that occur in both the number of current assets or current liabilities affect increasing profits so that the increase in Liquidity (CR) or the level of liquidity affects changes in increasing company performance (ROA).

scholarly journals Testing The Warrants Mispricing and Their Determinants: The Panel Data Models

2017 ◽  
Vol 5 (2) ◽  
pp. 118
Author(s):  
Muhammad Rizky Prima Sakti ◽  
Abdul Qoyum
Keyword(s):  
Panel Data ◽  
Stock Return ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Daily Basis ◽  
Series Data ◽  
Effect Model ◽  
The Impact

This paper empirically studied the impact of several variables such as moneyness, stock return, maturity, and volatility on the warrant mispricing. We selected 4 companies listed in Bursa Malaysia such as MHC Plantations Bhd, MKH Bhd, YFG Bhd, and UNISEM to investigate the mispricing of warrants. Subsequently, panel time series data employed with daily basis from 30 June 2010 until 30 June 2013. The Black-Scholes Option Pricing Model (BSOPM) used to determine the mispricing of warrant. Several panel data techniques employed in this study such as pooled-OLS, fixed effect model (FEM), and random effect model (REM). In turn, we found that FEM is well explained the determinants of warrant mispricing. Thus, empirical results suggest that moneyness, maturity, and volatility are positively and significantly explained the mispricing of warrant, while stock return does not give an impact toward the warrant mispricing. The BSOPM is consistently mispricing the warrant either in-the-money (ITM) or out-the money (OTM) warrants. The market is not efficient on the warrants traded for four companies observed

scholarly journals Comparative efficacy between ketamine, memantine, riluzole and d-cycloserine in patients diagnosed with drug resistant depression: a meta-analysis

2019 ◽  
Vol 8 (6) ◽  
pp. 1132
Author(s):  
Nishita H. Darji ◽  
Devang A. Rana ◽  
Supriya D. Malhotra
Keyword(s):  
Rating Scale ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect ◽  
P Value ◽  
Drug Resistant ◽  
Effect Model ◽  
Resistant Depression ◽  
Glutamate Modulators

Background: Glutamate modulators are having immense potential and are newer entities for treating drug resistant depression. The objectives were to generate statistical evidence on basis of existing data of ketamine, memantine, riluzole and d-cycloserine in resistant depression.Methods: A total of 14 RCTs following PRISMA guidelines and matching inclusion and exclusion criteria were collected of ketamine (5), memantine (3), riluzole (2) and d-cycloserine (4) vs placebo in drug resistant depression. Only RCTs with primary diagnosis of drug resistant depression (Previously on two standard antidepressant therapy) were included. Studies with treatment response rate, 50% reduction in total score of the depression rating scale-Montgomery-Åsberg Depression Rating Scale or the Hamilton Depression Rating Scale or Beck Depression Inventory was chosen as clinical outcome measure. RevMan 5.3 software was used for the analysis.Results: In ketamine group using random effect model SMD was 2.122 (95% CI 0.659-3.584). P-value was statistically significant (random effect p <0.005 and in fixed effect <0.001). In memantine group, using random effect model -0.963 was SMD and (95% CI -1.958-0.0324). P-value was <0.001, significant in fixed effect. In riluzole group, SMD was -0.564 with (95% CI -3.927-2.799) in random effect. P-value was 0.741. In d-cycloserine group SMD was 0.316 with (95% CI -1.252-1.885) in random effect. P-value was 0.690.Conclusions: Ketamine showed best efficacy followed by memantine. Riluzole and DCS as such have no efficacy although its acts by same glutamate pathway. More molecular based research is required in use of glutamate modulators in resistant depression.

scholarly journals PENGARUH PEREKONOMIAN DAN JUMLAH PENDUDUK TERHADAP PERMINTAAN BAHAN BAKAR MINYAK DI INDONESIA

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yurlis Sartika ◽  
Syamsul Amar
Keyword(s):  
Energy Consumption ◽  
Human Life ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Industrial Sector ◽  
Fuel Oil ◽  
Economic Activities ◽  
Economic Sectors ◽  
Effect Model

Abstract : This study aims to analyze the factors that influence the demand for fuel oil in Indonesia. The independent variables of this study are: (X1) Economy, (X2) Total Population. The model chosen in this study is the Random Effect Model (REM).            This type of research is descriptive and associative research, the data used in this study are secondary data using panel data techniques during the 2015-2018 period. Documentation data collection techniques obtained from the Central Statistics Agency and BPH Migas. Data were analyzed using the Regression Panel.   The results of this study indicate that: (1) The economy has a positive and significant effect on demand for fuel oil in Indonesia. This means that as the economy increases, the demand for fuel oil in Indonesia also increases. Indonesia's energy consumption is dominated by fossil energy, especially fuel. Final energy consumption consists of various sectors, namely households, industry, transportation, commercial, and others. Energy is very much needed in carrying out Indonesia's economic activities, both for consumption needs and for the production activities of various economic sectors. (2) The population has a positive and significant effect on the demand for fuel oil in Indonesia. This means that the greater the population, the higher the demand for fuel oil in Indonesia. From year to year the population of Indonesia as one of the developing countries in the world continues to experience growth. This growth has had various impacts on aspects of human life. One aspect that is quite affected by the increase in population is the use of energy to support the necessities of life which includes the industrial sector, households, transportation and so forth. The greater the population, the greater the energy used. Keywords : Economy, Population and Panel Regression

scholarly journals Analysis Of Effect Of ZIS (Zakat, Infaq, And Shadaqah), Regional Domestic Products Of Bruto, Regional Minimum Wage And Inflation On Levels Poverty In Indonesia 2012 – 2016

2019 ◽  
Vol 2 (2) ◽  
pp. 193-211
Author(s):  
Fiky Nila Mustika ◽  
Eni Setyowati ◽  
Azhar Alam
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Minimum Wages ◽  
Effect Model ◽  
Panel Data Regression ◽  
The Impact ◽  
Poverty Levels ◽  
Domestic Products

This study investigated the impact of ZIS (Zakat, Infaq, and Sadaqah) Gross Regional Domestic Products, Regional Minimum Wages, and Inflation on Poverty Levels in Indonesia during the 2012-2016 period. .This paper used secondary data in the panel data form. This research conducted a quantitative approach using panel data regression. Based on the results of the panel data testing, the best model chosen is the Random Effect Model (REM). Variables of gross regional domestic products and regional minimum wages have a significant effect on poverty levels in Indonesia while the variables of zakat, infaq, and shadaqah (ZIS) and inflation do not influence the level of poverty in Indonesia.

Sign in / Sign up

Export Citation Format

Share Document