Productivity Convergence: A Panel Data Approach in the Presence of Cross-Country Correlation

1998 ◽  
Author(s):  
Antonio I. Garcia Pascual
Keyword(s):  
Panel Data ◽  
Productivity Convergence ◽  
Cross Country

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

scholarly journals Investor protection and country-level governance: cross-country empirical panel data evidence

2017 ◽  
Vol 30 (1) ◽  
pp. 806-817 ◽  
Author(s):  
Paula Ramona Rachisan ◽  
Cristina Bota-Avram ◽  
Adrian Grosanu
Keyword(s):  
Panel Data ◽  
Investor Protection ◽  
Country Level ◽  
Cross Country

scholarly journals PROVING AL-MAQRIZI’S CONCEPT ON THE DETERMINANTS OF INFLATION: CROSS BORDER ANALYSIS

2019 ◽  
Vol 5 (4) ◽  
pp. 873-890
Author(s):  
Nashr Akbar ◽  
Abdul Wahid Al Faizin
Keyword(s):  
Panel Data ◽  
Natural Disaster ◽  
Human Error ◽  
Economic Problems ◽  
Cross Border ◽  
Country Level ◽  
Natural Factors ◽  
Panel Data Regression ◽  
Data Regression ◽  
Cross Country

This research discusses the determinants of inflation according to Al-Maqrizi, one of Ibnu Khaldun’s disciples. He argued that inflation is caused by natural factors and human error factors. Among those human error factors, government corruption and the excess supply of non-metal money. This study employs a critical review on the work of al-Maqrizi, ighatsatul ummah bi kasyfil ghummah, supported with a panel data regression on cross-country data related to the rate of inflation, the rate of corruption and the number of the natural disaster. The empirical data shows that the rate of inflation is positively related to the human error factors; corruption, tax, and money supply. The results indicated the relevancy of al-Maqirizi’s postulate to the modern days’ economy.  However, natural disasters are not proven as a significant factor for inflation in the country level. This paper contributes to the importance of the study on the classical Muslim Scholars thinking to understand current economic problems and the way to solve it.

scholarly journals Agricultural Convergence Clubs in Africa Countries: A Note

2021 ◽  
Author(s):  
Kolawole Ogundari
Keyword(s):  
Agricultural Productivity ◽  
Agricultural Technology ◽  
Population Divergence ◽  
Factor Productivity ◽  
Club Convergence ◽  
Productivity Convergence ◽  
Convergence Clubs ◽  
Show Evidence ◽  
Cross Country ◽  
African Agriculture

Abstract The study investigates productivity club convergence to assess whether countries follow different African agriculture convergence trajectories. We employ cross country panel covering 1961-2012 across 48 countries with total factor productivity (TFP) as an indicator of agricultural productivity in the study. Empirical results show evidence of population divergence in agricultural TFP. Further analysis shows evidence of club convergence as countries follow different convergence trajectories. Specifically, the result identifies three different transition groups in the region's agricultural productivity convergence. Countries in the first and two groups show a convergence path, while countries in the third group exhibit a divergence path. A total of 16 and 28 countries in the sample converge into the first and second clubs. The implication of this is that efforts to intensify agricultural productivity might require club-specific attention. For instance, new agricultural technology diffusion might focus on countries within a specific club or group.

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