scholarly journals MEMODELKAN RASIO KETERSEDIAAN BERAS MENGGUNAKAN REGRESI DATA PANEL DINAMIS

2019 ◽  
Vol 8 (3) ◽  
pp. 199
Author(s):  
NI PUTU MEILING UTAMI ◽  
I WAYAN SUMARJAYA ◽  
I GUSTI AYU MADE SRINADI
Keyword(s):  
Data Analysis ◽  
Total Population ◽  
Panel Data Analysis ◽  
Estimation Method ◽  
Dynamic Panel Data ◽  
Land Productivity ◽  
Dynamic Panel ◽  
Independent Variables ◽  
Difference Gmm ◽  
Dynamic Panel Data Analysis

The purpose of this research is to model and to determine the significant factor(s) that influence the ratio of rice availability at Province of East Java from 2007 to 2017 by applying dynamic panel data analysis. Independent variables of this research are land productivity, harvest area, and total population. The estimation method used are the first-difference GMM and system GMM. The best model to model the ratio of rice availability at Province of East Java is first-difference GMM and the independent variables which significant influence the ratio of rice availability at Province of East Java from 2007 to 2017 are lag ratio of rice availability, land productivity, harvest area, and total population.

scholarly journals Membership of English sport clubs: A dynamic panel data analysis of the trickle-down effect

2021 ◽  
pp. 1-18
Author(s):  
Pablo Castellanos-García ◽  
Themis Kokolakakis ◽  
Simon Shibli ◽  
Paul Downward ◽  
Jerry Bingham
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Sport Clubs ◽  
Dynamic Panel Data Analysis ◽  
Trickle Down

scholarly journals Labor Productivity Convergence in Indonesia: Spatially Dynamic Panel Data Analysis

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Ahmad Fajar Novianto ◽  
Waris Marsisno
Keyword(s):  
Panel Data ◽  
Labor Productivity ◽  
Panel Data Analysis ◽  
Estimation Method ◽  
Dynamic Panel Data ◽  
Tertiary Sector ◽  
Dynamic Panel ◽  
Productivity Convergence ◽  
Time Required ◽  
Dynamic Panel Data Analysis

The problem of labor productivity in Indonesia is a regional and sectoral inequality. To know the time required to remove inequality, can be measured by the level of convergence of labor productivity. The research would analyze the rate of sectoral labor productivity convergence among provinces in Indonesia spatially and identify the determinant factors of labor productivity. The analytical methods used is spatial dinamic panel data with Spatially Corrected Blundell-Bond (SCBB) estimation method. The results show that there are spatially sectoral labor productivity convergence. Primary sector takes the longest half-life convergence of 7-8 years, while secondary takes 1-2 years and tertiary sector takes 3-4 years. Furthermore, the Gross Capital Fixed Formation, Mean Years of Schooling, and real wage sectoral are significantly have positive affect to the labor productivity while Life Expectancy is significantly have negative affect to labor productivity.Keywords : convergence, spatial analysis, labor productivity

A Dynamic Panel Data Analysis of Climate and Tourism Demand

2016 ◽  
Vol 56 (2) ◽  
pp. 158-171 ◽  
Author(s):  
Hengyun Li ◽  
Haiyan Song ◽  
Li Li
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Tourism Demand ◽  
Dynamic Panel ◽  
Dynamic Panel Data Analysis
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