scholarly journals FAKTOR INTERNAL DAN FAKTOR MAKROEKONOMI YANG MEMPENGARUHI PROFITABILITAS ASURANSI SYARIAH DI INDONESIA PERIODE 2016-2018

2020 ◽  
Vol 7 (6) ◽  
pp. 1146
Author(s):  
Alissa Azmul Faoziyyah ◽  
Nisful Laila
Keyword(s):  
Fixed Effect Model ◽  
Least Square ◽  
Insurance Companies ◽  
Company Size ◽  
Insurance Company ◽  
Macroeconomic Factors ◽  
Effect Model ◽  
Panel Data Regression ◽  
Investment Returns ◽  
Islamic Insurance

This research aims to examine the company's internal factors and macroeconomic factors partially and simultaneously on the profitability of islamic insurance companies in Indonesia with proxied by Return On Assets. This study uses a quantitative approach with panel data regression analysis techniques. The population of this study is sharia insurance companies in Indonesia during the period 2015-2018. The purposive sampling method is used to determine the sample used and obtained 36 Islamic insurance companies, which consist of Islamic general insurance companies and Islamic life insurance companies. The estimation results of the Fixed Effect Model with the Weighted Least Square (WLS) method show that company size, contribution growth, retakaful, leverage, investment returns, GDP and inflation simultaneously affect the profitability of islamic insurance companies in Indonesia. Partially, contributions growth and investment returns have positive and significant effect on the profitability of Islamic insurance companies in Indonesia. The variabel Company size and GDP have positive and not significant effect on the profitability of Islamic insurance in Indonesia. While the variabel leverage, retakaful, and inflation have a negative and not significant effect on the profitability of Islamic insurance companies in Indonesia. Keywords: Profitability, Islamic Insurance, Company Size, Contribution Growth, Retakaful, Leverage, Investment Results, GDP, Inflation

scholarly journals THE INFLUENCE OF PREMIUM INCOME, UNDERWRITING AND INVESTMENT RESULTS ON PROFITS TOWARDS JOINT VENTURE GENERAL INSURANCE COMPANIES IN INDONESIA

2020 ◽  
Vol 1 (4) ◽  
pp. 528-542
Author(s):  
Zati Amani ◽  
Markonah Markonah
Keyword(s):  
Joint Venture ◽  
Sampling Technique ◽  
Fixed Effect Model ◽  
Insurance Companies ◽  
General Insurance ◽  
Effect Model ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Investment Returns ◽  
Premium Income

The purpose of this research was to analyzed the influence of premium income, underwriting and investment returns on profits towards joint venture general insurance companies in Indonesia. The samples that were used was 8 joint venture general insurance companies with a purposive sampling technique, including: PT ACE Jaya Proteksi, PT Allianz Utama Indonesia's Insurance, PT AIG Insurance Indonesia, PT Mandiri Insurance AXA General Insurance, PT Asuransi MSIG Indonesia, PT Asuransi Sompo Japan Nipponkoa Indonesia, PT Asuransi Tokio Marine Indonesia and PT Asuransi QBE Pool Indonesia.  The data used in this research were obtained from the 2011-2016 Indonesian insurance report. And The analysis technique which used in this research is panel data regression.  The results of the research were using the fixed effect model found that premium income and underwriting results had a significant positive influences towards the profits of joint venture general insurance companies in Indonesia, while investment results showed no any effection towards its.

scholarly journals Faktor-Faktor Yang Mempengaruhi Kontribusi Peserta Pada Perusahaan Asuransi Jiwa Syariah di Indonesia

2017 ◽  
Vol 4 (10) ◽  
pp. 802
Author(s):  
Risma Kartika Mulya Wardhani ◽  
Dina Fitrisia Septiarini
Keyword(s):  
Life Insurance ◽  
Positive Impact ◽  
Sampling Technique ◽  
Fixed Effect Model ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Expected Return ◽  
Effect Model ◽  
Investment Returns

The aims of this study is to determine the effect of operating costs, investment and claims partially and simultaneously against the contribution to the shariah life insurance companies in Indonesia during 2013-2015. This study uses quantitative approach. The sampling technique is purposive sampling and there were 19 shariah life insurance company as subjects. The technique used is regression analysis using fixed effect model (FEM) panel data. The results study indicate that the operating expenses, investment returns and claims partially and simultaneously are significant and have positive impact on the contribution to the KP equation=67051.80+0,578102BO+2,605768HI+1,427397KLM. The results illustrate that the number of contributions have important influence in the operations of the companies. The amount of contributions received is expected to cover the costs incurred for the company's operations, they can be invested so as to achieve the company's expected return, and to pay claims.

scholarly journals ANALYSIS OF COMPANIES’ CHARACTERISTICS, ECONOMIC CONDITIONS, NET PREMIUMS, AND THEIR IMPACTS ON PROFITABILITY

2020 ◽  
Vol 3 (1) ◽  
pp. 33-44
Author(s):  
Endang Heddy Ruchiyat
Keyword(s):  
Significant Influence ◽  
Insurance Industry ◽  
Fixed Effect Model ◽  
Insurance Companies ◽  
Company Size ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Domestic Products ◽  
Industry Associations

This research is aimed at empirically testing insurance companies’ profitability and net premiums from the variables of company size, solvability, gross domestic products, and inflation. The research was conducted on general insurance companies in Indonesia observed throughout 2013 – 2017 using the panel data regression. The research results showed: First, company size, solvability, gross domestic products, and inflation have a significant influence on net premiums through the common model effect; secondly, net premiums have a significant influence on profitability through the fixed effect model. This research is expected to be a recommendation and information to the insurance industry, associations, and policymakers.

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.

scholarly journals APLIKASI REGRESI DATA PANEL DENGAN PENDEKATAN FIXED EFFECT MODEL (STUDI KASUS: PT PLN GIANYAR)

2014 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
NI PUTU ANIK MAS RATNASARI ◽  
I PUTU EKA NILA KENCANA ◽  
G.K. GANDHIADI
Keyword(s):  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Panel data regression has three approaches. One of these approaches is Fixed Effect Model (FEM). FEM is common estimated using Least Square Dummy Variable. The use of dummy variable in FEM is based on assumption that slope coefficients are constant but intercept varies over individuals. One of application of FEM is to find out motivation of employees at PT PLN Gianyar for non-outsourcing and outsourcing employees based on existence, relatedness, and growth. This research yields the following two models:with 67% motivation non-outsourcing employees represented by existenceand73% motivation non-outsourcing employees represented by existence and growth.

scholarly journals ANALISIS REGRESI UNTUK DATA PANEL PADA PEMODELAN TINGKAT KEMATIAN IBU DI PROVINSI SULAWESI SELATAN

2020 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Muhammad Imran Rahman ◽  
Muhammad Nusrang ◽  
S. Sudarmin
Keyword(s):  
Parameter Estimation ◽  
Panel Data ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
South Sulawesi ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Abstrak. Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian ibu di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2016. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian ibu, perdarahan, hipertensi dalam kehamilan, infeksi dan gangguan sistem peredaran darah di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. 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 dengan nilai 𝑅2 = 90%. Adapun peubahpeubah yang berpengaruh signifikan terhadap kematian ibu adalah perdarahan, hipertensi dalam kehamilan dan infeksi. Dari hasil analisis diperoleh juga daerah yang memiliki jumlah kematian ibu terbesar di Provinsi Sulawesi Selatan tahun 2014-2016 adalah Bone dan Jeneponto.Kata Kunci: Regresi data Panel, Angka Kematian Ibu, Fixed Effect Model, Least Square Dummy Variable.Abstract. This research discusses about parameter estimation of panel data regression model of mother mortality level modelling in South Sulawesi from 2014 to 2016. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of mother mortality, bleeding, infection, circulatory system disorders and metabolic disorders in the whole district/town in South Sulawesi year 2014-2016. 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 with value of 𝑅2 = 90%. The variables that significantly influence maternal mortality are bleeding, hypertension in pregnancy and infection. From the results of the analysis, it was also found that the regions that had the largest number of maternal deaths in South Sulawesi Province in 2014-2016 were Bone and Jeneponto.Keywords: Panel Data Regression, Mother Mortality Rate, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals Faktor Penentu Kinerja Investasi Asuransi Jiwa Syariah di Indonesia

2018 ◽  
Vol 9 (2) ◽  
pp. 93
Author(s):  
Nur Indah Hidayati ◽  
Ahmad Baehaqi
Keyword(s):  
Significant Influence ◽  
Fixed Effect Model ◽  
Negative Influence ◽  
Positive Influence ◽  
Fixed Effect ◽  
Company Size ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Effect Model ◽  
Level Of Significance

Abstract This research aims to find out the influence of company size, liquidity, leverage, volume of capital (VOC), underwriting risk and premium growth towards Investment Yield of sharia life insurance company in Indonesia from 2011 to 2015. Technique of analyzing the data used in this study is panel data regression with level of significance 5%. The result showed that the most appropriate model for this study is Fixed Effect Model (FEM). Simultaneously, all variables have significant influence towards Investment Yield. The result of partial test of Investment Yield showed that company size and liquidity have negative influence, while leverage, VOC, and premium growth have positive influence towards Investment yield. Underwriting risk has no significant influence towards Investment yield. AbstrakPenelitian ini bertujuan untuk mengetahui pengaruh Company Size, likuiditas, leverage, Volume of Capital (VOC), Penelitian ini bertujuan untuk mengetahui pengaruh company size, likuiditas, leverage, volume of capital (VOC), underwriting risk dan premium growth terhadap Investment Yield perusahaan asuransi jiwa syariah di Indonesia periode 2011-2015. Teknik analisis data yang digunakan adalah regresi data panel dengan tingkat signifikansi 5%. Hasil analisis data menunjukkan bahwa model yang tepat digunakan dalam penelitian ini adalah Fixed Effect Model (FEM). Secara simultan keenam variabel tersebut berpengaruh signifikan terhadap Investment Yield. Sedangkan secara parsial menunjukkan bahwa company size dan likuiditas berpengaruh negatif signfikan sedangkan leverage, VOC dan premium growth berpengaruh positif signifikan terhadap investment yield. Underwriting risk tidak memiliki pengaruh signifikan terhadap investment yield. 

scholarly journals RISK EFFECT ON CONTRIBUTION OF PARTICIPANTS IN SHARIA INSURANCE INDONESIA

2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Anisa Istiqomah ◽  
Vidia Gati
Keyword(s):  
Sample Selection ◽  
Secondary Data ◽  
Sampling Technique ◽  
Fixed Effect Model ◽  
Insurance Companies ◽  
Minimum Risk ◽  
Operational Costs ◽  
General Insurance ◽  
Effect Model ◽  
Investment Returns

This study aims to prove the effect of operational costs, investment returns, claims and minimum risk-based tabarru' funds partially and simultaneously on the contribution of Islamic general insurance in Indonesia 2015-2018. This study uses a quantitative approach with secondary data in the form of publication of annual Islamic financial statements and sample selection using a purposive sampling technique. The amount of data is 11 companies with observations over four years to obtain 44 observational data used as samples in this study. The technique used is regression analysis using a fixed effect model (FEM) panel data. The results illustrate that partially, minimum variable costs based on operational risk, claims, and tabarru’ funds have a significant positive effect on participant contributions. Thus proving that the higher the minimum operational costs based on claims, and tabarru’ 'will influence the determination of participant contributions. As for investment returns, it has no effect on determining participant contributions because funds can be allocated to increase assets. Simultaneous statistical test results from operational costs, investment returns, claims, minimum risk-based funds are influenced by participant contributions. This research suggestion should be that Islamic general insurance companies can conduct regular audits on the use of operational costs to make it more efficient so that the allocation of contribution costs can be directed towards the growth of assets or minimum risk-based tabarru’ funds of the company.

scholarly journals ANALISIS PERBEDAAN PENGARUH PREMI, KLAIM, DAN INVESTASI TERHADAP PERTUMBUHAN LABA PADA PERUSAHAAN ASURANSI SYARIAH DENGAN ASURANSI KONVENSIONALPERIODE 2011-2013

2019 ◽  
Vol 1 (01) ◽  
pp. 56-77
Author(s):  
Neneng Karyati ◽  
Sri Mulyati ◽  
Icih Icih
Keyword(s):  
Sampling Method ◽  
Insurance Companies ◽  
Insurance Company ◽  
Earnings Growth ◽  
Analysis Technique ◽  
Investment Returns ◽  
Islamic Insurance ◽  
Positive Effect ◽  
Observation Period ◽  
Profit Growth

The purpose of this study was to determine the effect of differences in premiums, claims and investment returns to profit growth. The population is Islamic insurance company with conventional insurance in Indonesia. Based on the purposive sampling method, the sample totaled 9 companies Takaful and conventional insurance companies 9 with the observation period 2011-2013. The analysis technique used is multiple regression analysis. Conclusion on Islamic insurance company is that premiums and investment returns no effect on profit growth, while the claims of positive effect on earnings growth. Whereas in conventional insurance companies is that the premium does not affect the profit growth, while the claims and investment returns positive effect on earnings growth.

scholarly journals Pengaruh Indeks Pembangunan Manusia dan Angkatan Kerja terhadap Produk Domestik Regional Bruto

2018 ◽  
Vol 5 (4) ◽  
pp. 368-376
Author(s):  
Andini Mulyasari
Keyword(s):  
Human Development ◽  
Significant Influence ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Development Index ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression

Tujuan penelitian ini adalah untuk menganalisis besaran pengaruh indeks pembangunan manusia dan angkatan kerja yang bekerja terhadap PDRB Kabupaten/Kota di Jawa Tengah Tahun 2010-2014. Penelitian ini menggunakan analisis regresi data panel melalui pendekatan Fixed Effect Model (FEM) dengan metode Generalized Least Square (GLS). Hasil penelitian menunjukan bahwa secara bersama-sama variabel indeks pembangunan manusia dan angkatan kerja yang bekerja berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. Sedangkan hasil secara parsial menunjukan bahwa indeks pembangunan manusia berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah dan angkatan kerja yang bekerja juga berpengaruh positif dan signifikan terhadap PDRB Kabupaten/Kota di Jawa Tengah. The purpose of this study was to analyze the influence of human development index and labor toward GRDP regency/city in Central Java 2010-2014. This study used panel data regression analysis through Fixed Effect Model (FEM) approach with the Generalized Least Square (GLS) method. The results of this study showed that the variable of human development index and labor has positive and significant influence to the GRDP  regency/city in Central Java. While the partial results showed that the index of human development have positive and significant influence to the GRDP regency/city in Central Java and the labor have positive and significant influence to the GRDP regency/city in Central Java.

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