scholarly journals DOES ECONOMIC FREEDOM AFFECT THE PRODUCTION FRONTIER? A SEMIPARAMETRIC APPROACH WITH PANEL DATA

2018 ◽  
Vol 56 (2) ◽  
pp. 1380-1395 ◽  
Author(s):  
Fan Zhang ◽  
Joshua Hall ◽  
Feng Yao
Keyword(s):  
Panel Data ◽  
Economic Freedom ◽  
Production Frontier ◽  
Semiparametric Approach

scholarly journals Economic freedom and growth: A panel cointegration approach

2016 ◽  
Vol 63 (5) ◽  
pp. 541-562 ◽  
Author(s):  
Bernur Acikgoz ◽  
Anthony Amoah ◽  
Mine Yilmazer
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Economic Freedom ◽  
Panel Cointegration ◽  
Government Regulations ◽  
Policy Makers ◽  
Country Group ◽  
Long Run ◽  
Growth Prospects

This study uses three-country group panel data from 1993 to 2011 in examining the long-run effect of tax burdens (Fiscal index) and government regulations of business (Business index) on economic growth. The outcome of the panel cointegration approach suggests that the variables have a long-run relationship with economic growth. The study finds all the signs of the variables used to be consistent with theoretical expectations. Regarding the variables of interest, it is also found that the Fiscal index has a positive and significant effect on economic growth for all three-country groups. In addition, the Business index has a positive and significant effect for only two-country groups. The study finds that tax burdens and government regulations play an important role on economic growth for most countries in the sample. To harness economic growth prospects, the study offers recommendations for policy makers to consider.

New Evidence on the Relationship Between Economic Freedom and Growth: A Panel Cointegration Analysis for The Case of OECD

2012 ◽  
Vol 12 (3) ◽  
pp. 1850263 ◽  
Author(s):  
Ekrem Erdem ◽  
Can Tansel Tugcu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Economic Freedom ◽  
Global Financial Crisis ◽  
Oecd Countries ◽  
Cointegration Analysis ◽  
Factor Productivity ◽  
The Impact ◽  
The Relationship

The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test by Westerlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.

ECONOMIC FREEDOM AND INCOME LEVELS ACROSS U.S. STATES: A SPATIAL PANEL DATA ANALYSIS

2018 ◽  
Vol 37 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Joshua C. Hall ◽  
Donald J. Lacombe ◽  
Timothy M. Shaughnessy
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Economic Freedom ◽  
Panel Data Analysis ◽  
Income Levels ◽  
Spatial Panel ◽  
Spatial Panel Data

scholarly journals Relationship between Economic Freedom and Economic Growth in Some Selected Transition Economies: A Panel Data Analysis

2015 ◽  
Author(s):  
Hakan Türkay
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Transition Economies ◽  
Economic Freedom ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Economies In Transition ◽  
Economic Freedom Index ◽  
Fraser Institute

This study estimated the influence of economic freedom in transition economies between the years 2000-2012 on economic growth by using panel data analysis. Economic freedom index developed by Fraser Institute was used in the study. The index values prepared by this institute do not cover all economies in transition. In addition, there is missing data for the periods that the study covers in terms of some countries. Thus, the analysis uses the data about 15 economies in transition. The study was conducted within the scope of two different models. In one of these models, the global economic crisis of 2009 was also included. As a conclusion, a negative relationship was found between economic freedom and economic growth when the crisis was not included; however, there was a positive but statistically insignificant relationship when the crisis was taken into consideration.

scholarly journals Globalization, economic freedom, and wage inequality: A panel data analysis

2016 ◽  
Vol 63 (5) ◽  
pp. 581-601 ◽  
Author(s):  
Gülsün Yay ◽  
Hüseyin Taştan ◽  
Asuman Oktayer
Keyword(s):  
Panel Data ◽  
Wage Inequality ◽  
Economic Freedom ◽  
Panel Data Analysis ◽  
Oecd Countries ◽  
Dynamic Panel Data ◽  
Wage Distribution ◽  
Data Set ◽  
Economic Freedom Index ◽  
The Impact

This paper examines the impact of globalization and liberalization on wage inequality using the KOF globalization index, the Economic Freedom Index (EFI) of the Fraser Institute and the Theil industrial pay inequality statistic compiled by the University of Texas Inequality Project (UTIP). Both static and dynamic fixedeffects models are estimated using a 5-year panel data set consisting of about 90 developed and developing countries for the 1970-2005 period. Estimation results from the dynamic panel data specification suggest that wage inequality has a significant and slowly changing component. The overall KOF and EFI indexes are found to be statistically insignificant in the full sample, but the results show that economic freedom is associated with more wage inequality, especially in Organisation for Economic Co-operation and Development (OECD) countries. The estimation results from country groups indicate that more deregulation is associated with more earnings inequality in OECD countries. The results from the models with subcomponents of the EFI imply that access to sound money has a negative effect on wage inequality. A more stable price system in an economy implies a more equal wage distribution in emerging markets (EM), non-OECD countries, and European Union (EU).

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