scholarly journals Panel Data Modelling for Indian Food Grain Production

2021 ◽  
Author(s):  
RAJARATHINAM ARUNACHALAM ◽  
Subh S S ◽  
Ramji Madhaiyan
Keyword(s):  
Panel Data ◽  
Regression Model ◽  
Uttar Pradesh ◽  
Fixed Effect Model ◽  
Panel Regression ◽  
Data Modelling ◽  
Grain Production ◽  
Effect Model ◽  
Food Grain ◽  
Indian Food

Abstract The present investigation was carried out to study the food grain production trends in different states in India based on Panel Regression Model for the period 2001-02 to 2020-2021. The results reveal that between state-to-state food grain production is highly significant the highest food grain production was registered in Uttar Pradesh followed by Punjab and Madhya Pradesh. Very lowest was registered in Kerala and Himachal Pradesh. The findings reveal that the highly significant fixed effect model was found to be suitable to study the trend and this model explains the 82% of variations in food grain production. Over all increasing in food grain production is noted.

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 Do Independent Commissioners Control the Effect of Family-Owned Business Characteristics on Dividend Policy? A Study in Indonesian Manufacturing Companies

2021 ◽  
Vol 2 (2) ◽  
pp. 55-62
Author(s):  
Ernie HENDRAWATY ◽  
Sri HASNAWATI ◽  
Lia PURNAMASARI
Keyword(s):  
Panel Data ◽  
Family Business ◽  
Dividend Policy ◽  
Fixed Effect Model ◽  
Financial Data ◽  
Panel Regression ◽  
Manufacturing Companies ◽  
Effect Model ◽  
Positive Effect

This study aims to determine the role of independent Commissioners to control the effect of family-owned business characteristics on dividend policy. This study construct panel data that estimate using panel regression with a fixed-effect model. The model is estimated using financial data of 64 Indonesian manufacturing companies that were observed from the period 2016-2018. The result showed that family-owned business characteristics have a positive effect on dividens. The Independent Commisioners were able to control the effect of family business characteristics on the dividend policy. The Independent Commissioners have a role in reducing the positive effect of family-owned businesses characteristics on dividends.

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 Panel Regression Models for Paddy (Oryza sativa) Crop Production

YMER Digital ◽  
2022 ◽  
Vol 21 (01) ◽  
pp. 28-40
Author(s):  
Rajarathinam A ◽  
◽  
Suba S S ◽  
Keyword(s):  
Regression Model ◽  
Tamil Nadu ◽  
Crop Production ◽  
Wald Test ◽  
Fixed Effect Model ◽  
Panel Regression ◽  
Effect Model ◽  
Tamil Nadu State ◽  
Crop Area ◽  
Paddy Crop

The present investigation was carried out to study area production trends of Paddy crop grown in different districts of Tamil Nadu state, India during the period 1998-99 to 2010- 2020 based on Panel Regression Model. The statistically most suited Panel Regression model was selected based on Hausman and Wald test. The study variables namely the area under the Paddy crop (AREA) and the production (PRODN) of Paddy crop were found to be stationary at level. Analysis of variance test indicated that district to district crop productions were highly significant. Highest area under the crops and productions were registered in Tiruvarur, Thanjavur etc., Very lowest were registered in Coimbatore and Nilgiris districts. The fixed effect model was found to be suitable to study the trend and this model explains the 87% of variations in Paddy crop production.

scholarly journals The Step Construction of Geographically Weighted Panel Regression in Air Polluter Standard Index (APSI) Data

2018 ◽  
Vol 73 ◽  
pp. 12006
Author(s):  
Budi Warsito ◽  
Hasbi Yasin ◽  
Dwi Ispriyanti ◽  
Arief Rachman Hakim
Keyword(s):  
Regression Model ◽  
Weighting Function ◽  
Weighted Least Squares ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Local Linear Regression ◽  
Coefficient Of Determination ◽  
Panel Regression ◽  
Standard Index ◽  
Effect Model

Geographically Weighted Panel Regression or GWPR is a local linear regression model that combines GWR model and panel data regression model with considering spatial effect, especially spatial heterogeneity problem. This article is focused on the soft computation of GWPR model using Fixed Effect Model (FEM). Parameter estimation in GWPR is obtain by Weighted Least Squares (WLS) methods and the resulting model for each location will be different from one to another. This study will compare the fixed-effect GWPR model with several weighting functions. The best model is determined based on the biggest coefficient of determination (R2) value. In this study, the model is applied in the Air Polluter Standard Index (APSI) in Surabaya City, East Java. The results of this study indicate that Fixed Effect GWPR model with a fixed exponential kernel weighting function is the best model to describe the APSI because it has the smallest AIC.

scholarly journals PENGARUH TINGKAT PENDIDIKAN, PENGANGGURAN , DAN KEMISKIAN TERHADAP KRIMINALITAS DI INDONESIA

2019 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Suci Rahmalia ◽  
Ariusni Ariusni ◽  
Mike Triani
Keyword(s):  
Panel Data ◽  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Equation Model ◽  
Fixed Effect ◽  
Regression Equation ◽  
Panel Regression ◽  
Level Of Education ◽  
Effect Model

This study aims to determine and analyze the influence of (1) Level of Education, (2) Unemployment, and (3) Poverty against crime in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) the level of education has a negative and not significant effect on criminality in Indonesia, (2) unemployment has a negative and significant effect on crime in Indonesia, (3) poverty has a positive and significant influence on crime in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 31 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) The level of education has a negative and insignificant influence on crime in Indonesia, (2) Unemployment has a negative and significant effect on crime in Indonesia, (3) Poverty has a positive and significant influence on crime in Indonesia.

scholarly journals ANALISIS INTERVENSI FISKAL TERHADAP KEMISKINAN (STUDI KASUS DANA DESA PULAU KALIMANTAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
M. Zaky Mubarak Lubis ◽  
Aprian Subhan Dahraini
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Panel Data Model ◽  
Fund Allocation ◽  
Effect Model ◽  
Descriptive Approach ◽  
Quantitative Descriptive ◽  
The Village

ABSTRACTOne of the government's strategies to help the village become independent and autonomous by giving the allocation of village funds. The funds allocated for the rural area, and expected to support the implementation of the people’s empowerment and the rural development, so that funds can improve the people’s prosperity. Furthermore, the aims of this study to look at the influence of Fiscal Intervention which are representated by Village Fund, Village Fund Allocation, and part of Local Earning and Retribution toward Poverty which is representated by Poverty Rate of Residences/Cities in Kalimantan Island during 2015-2017. This research used quantitative descriptive approach with Panel Data Model. The result showed of Fixed Effect Model regression that, Village Fund, Village Fund Allocation, and part of Local Earning and Retribution have have negative significant influence at Poverty Rate for 47 Residences/Cities in Kalimantan Island.

scholarly journals Determinants of Structural Transformation in ASEAN

2020 ◽  
Vol 35 (2) ◽  
pp. 137
Author(s):  
Kalies Sirieh Puspitowati ◽  
Deden Dinar Iskandar
Keyword(s):  
Panel Data ◽  
Structural Transformation ◽  
Value Added ◽  
Fixed Effect Model ◽  
Dependency Ratio ◽  
Service Value ◽  
Income Per Capita ◽  
Effect Model ◽  
Per Capita ◽  
Asean Countries

This study aims to analyze the determinants of the structural transformation in ASEAN countries. This study uses quantitative panel data from 9 countries in ASEAN from 2000 to 2017, thus makes up for 162 observations. This study employs panel data regression analysis with fixed effect model approach. In this study, the shifting of sectoral value added away from agriculture sectors indicates structural transformation. In particular, sectoral value added consists of the industrial value added and service value added. The results of this study shows that dependency ratio, income per capita, education, and trade significantly affect the increase of industrial value added during observation period. On the other hand, total population, dependency ratio, income per capita, education, control of corruption, and trade significantly increase the service value added over time.

scholarly journals VOLATILITAS INFLASI DAERAH DI INDONESIA: FENOMENA MONETER ATAU FISKAL?

KRITIS ◽  
2016 ◽  
Vol 24 (1) ◽  
pp. 76-89
Author(s):  
Paula Adiati Trisdian ◽  
Yulius Pratomo ◽  
Birgitta Dian Saraswati
Keyword(s):  
Panel Data ◽  
Local Government ◽  
Positive Relationship ◽  
Foreign Currency ◽  
Credit Rationing ◽  
Government Debt ◽  
Fixed Effect Model ◽  
Inflation Volatility ◽  
Effect Model ◽  
Project Location

This research aims to analyse the regional inflation volatility in Indonesia for the period of 1999-2009 from both monetary and fiscal sides. The data employed in this study are regional panel data consisting of 275 observations picked from several publications. The method of analysis used in this study is Fixed Effect Model. The proxy of monetary side is outstanding of loans in Rupiah and Foreign Currency of commercial and rural banks by project location of Provinces, and fiscal side is local government debt. This research finds both monetary and fiscal sides have positive relationship with the inflation volatility in Indonesia. However, only monetary side which has significant impact, but fiscal side does not. This finding further shows that the regional inflation in Indonesia is still a monetary phenomenon. Therefore, the solution to controll regional inflation in Indonesia is to manage credit rationing conducting by commercial and rural banks for every province.

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