Does tourism promote economic growth? A fractionally integrated heterogeneous panel data analysis

2021 ◽  
pp. 135481662098066
Author(s):  
Jorge V Pérez-Rodríguez ◽  
Heiko Rachinger ◽  
María Santana-Gallego
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
European Countries ◽  
Tourist Destinations ◽  
Contemporaneous Correlation ◽  
Long Run ◽  
Interactive Fixed Effects

In this article, we analyse whether tourism promotes economic growth using a general dynamic panel data model that incorporates individual and interactive fixed effects and allows for contemporaneous correlation in model innovations. The empirical study is based on quarterly series of GDP and tourist arrivals for 14 European countries covering the period from 1995 to 2019. Results indicate that the case for a positive long-run relationship between tourism and economic growth is rather weak, being slightly stronger for the period prior to the global economic and financial crisis from 2007 to 2010. When applying panel fractional cointegration techniques, we find evidence in favour of the tourism-led growth hypothesis (TLGH) for the full sample mainly for North European countries. For the pre-crisis period, on the other hand, we find evidence in favour of the TLGH for the relevant tourist destinations Spain and France.

scholarly journals Mastering Panel Metrics: Causal Impact of Democracy on Growth

2019 ◽  
Vol 109 ◽  
pp. 77-82 ◽  
Author(s):  
Shuowen Chen ◽  
Victor Chernozhukov ◽  
Iván Fernández-Val
Keyword(s):  
Panel Data ◽  
Statistical Inference ◽  
Fixed Effects ◽  
State Of The Art ◽  
Panel Data Analysis ◽  
High Dimensional ◽  
Econometric Methods ◽  
Long Run ◽  
Causal Impact ◽  
The Relationship

We revisit the panel data analysis of Acemoglu et al. (forthcoming) on the relationship between democracy and economic growth using state-of-the-art econometric methods. We argue that panel data settings are high-dimensional, resulting in estimators to be biased to a degree that invalidates statistical inference. We remove these biases by using simple analytical and sample-splitting methods, and thereby restore valid statistical inference. We find that debiased fixed effects and Arellano-Bond estimators produce higher estimates of the long-run effect of democracy on growth, providing even stronger support for the key hypothesis of Acemoglu et al.

scholarly journals Media and Economic Growth: Country Groups Difference via Panel Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Viktoriia Ahapova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Press Freedom ◽  
Foreign Direct Investments ◽  
Fixed Effects Model ◽  
Data Set ◽  
The Press ◽  
Per Capita

The present article investigates the link between economic growth, namely GDP per capita, and the media activity represented with the indicator of the press freedom alongside other factors such as infrastructure, institutional conditions, and foreign direct investments. A panel of 179 countries was used for the period from 2000 to 2015. In particular, we run two panel data analysis models, fixed effects and random effects models, and examined their output with Hausman’s specification test, which pointed the fixed effects model as more efficient for the presented data set. However due to the presence of serial correlation, heteroskedastic, and cross-panel dependence, a Prais-Winsten regression with panel corrected standard errors (PCSE) was implemented. The comparative analysis of models of four country groups, divided by GNI per capita, was conducted. Both statistically significant correlation coefficients and models’ output provided evidence of an association between economic growth and the press activity.

scholarly journals Alcohol Consumption and Liver Cirrhosis Mortality: New Evidence from a Panel Data Analysis for Sixteen European Countries

2011 ◽  
Vol 6 (1) ◽  
pp. 67-82 ◽  
Author(s):  
Jan Bentzen ◽  
Valdemar Smith
Keyword(s):  
Liver Cirrhosis ◽  
Panel Data ◽  
Alcohol Consumption ◽  
Fixed Effects ◽  
Close Association ◽  
Panel Data Analysis ◽  
Empirical Modeling ◽  
European Countries ◽  
Data Set ◽  
Cirrhosis Mortality

AbstractEmpirical evidence gives support to a close association between liver cirrhosis mortality and the intake of alcohol. The present analysis draws on a panel data set for sixteen European countries from 1970–2006 where both alcohol consumption and liver cirrhosis seem best described as trend-stationary variables. Consequently, a flexible non-linear functional form with country fixed effects including linear trends is applied in the analysis. It is argued that fewer restrictions on the relationship between liver cirrhosis mortality and alcohol consumption are appropriate for empirical modeling. The conclusion is that the total level of alcohol consumption as well as the specific beverages – beer, wine and spirits – contribute to liver cirrhosis mortality, but the present study also reveals that addressing the question of panel unit roots directly and in this case subsequently applying a trend-stationary modeling methodology reduces the estimates of the impacts from alcohol consumption to liver cirrhosis. Finally, more restrictive alcohol policies seem to have influenced the country-specific development in cirrhosis mortality positively. (JEL Classification: 110)

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