scholarly journals THE VALIDITY OF BALASSA SAMUELSON HYPOTHESIS: DYNAMIC PANEL DATA METHODS TOWARD OECD COUNTRIES

2017 ◽  
Vol 4 (8) ◽  
pp. 22-31
Author(s):  
Ahmet AY
Keyword(s):  
Panel Data ◽  
Oecd Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Panel Data Methods ◽  
Samuelson Hypothesis

scholarly journals A Comparative Study on the Impact of Telecommunication Investment on Economic Growth in EU Vis-à-vis Non-EU OECD Countries: A Dynamic Panel Data Analysis

2019 ◽  
pp. 1-16
Author(s):  
Hakan Oztunc ◽  
Erkan Demirbas ◽  
Mehmet Orhan
Keyword(s):  
Panel Data ◽  
Panel Data Analysis ◽  
Oecd Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Telecommunication Infrastructure ◽  
Computer Based ◽  
Development Levels ◽  
Economical Growth ◽  
The Impact

This study aims to comparatively investigate the effects of telecommunication infrastructure on the economical growth in OECD countries. For this purpose, OECD countries were divided into two groups i.e. European Union (EU) and non-EU OECD countries for the period of 1993-2013. Findings of dynamic panel data model showed that investment on the telecommunication infrastructure has more positive effect on EU OECD countries than non-EU OECD countries. Since telecom appears as the key sector to fuel growth because it is associated with information technology and all ramifications of computer based applications and mobile communication, all countries at all development levels are proposed to focus on investing in these sectors the opposite of which hinders growth.

The Role of FDI on Exports Performance: Evidence from the Mexican States

2020 ◽  
pp. 016001762097964
Author(s):  
René Cabral ◽  
Jorge Alberto Alvarado
Keyword(s):  
Panel Data ◽  
Estimation Method ◽  
Dynamic Panel Data ◽  
Border Region ◽  
Long Term Effects ◽  
Short Term ◽  
Dynamic Panel ◽  
Panel Data Methods

This article examines manufacturing export determinants across Mexican states and regions from 2007 to 2015. Paying particular attention to the role of FDI, the analysis considers internal and external determinants of manufacturing exports under static and dynamic panel data methods. Several interesting results were obtained. First, the ratio of manufacturing to total GDP is the most consistent determinant of exports performance, regardless of the estimation method or specification employed. Second, static panel data estimations under GMM techniques suggest different sensitivity to FDI across regions, with the Mexico-U.S. border region observing the most substantial short-term effect of FDI on manufacturing exports. Finally, using dynamic panel data methods, we found significant persistence and similar long-term effects of FDI across most of the regions.

scholarly journals Digitalization as a Determinant of Tax Revenues in OECD Countries: A Static and Dynamic Panel Data Analysis

2021 ◽  
Vol 7 (4) ◽  
pp. 321-348
Author(s):  
David Hanrahan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Oecd Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Tax Revenues ◽  
Tax Returns ◽  
Dynamic Panel Data Analysis

The tax challenges of digitalization have been to the forefront of national and international discussions on public revenues in recent years. The digital transformation is seen as being an exacerbating factor in the erosion of tax bases and the shifting of profits to low tax jurisdictions, particularly by multinational companies, thus reducing tax revenues for governments. While there is a large literature examining the role of ICT and digitalization in raising economic growth, productivity and other macroeconomic variables, the relationship between digitalization and tax revenues has been relatively understudied – despite being one of key drivers of what could be most significant change to international tax rules in a century. This study utilizes panel data covering OECD countries during the period from 1995 to 2018, and examines the effect of the rise of digitalization on tax revenues employing both static and dynamic panel data analysis techniques. The findings indicate that digitalization may have a negative impact on the ability of a country with high digital dynamics to generate higher tax returns. JEL Codes: H20, H25, L81, L86 Keywords: digitalization, taxation, tax revenues, ICT, OECD countries

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