Eastern European Business and Economics Journal

Heterogeneous Panel Granger Causality between GDP and Tourism in 11 EU members in Central and Southeastern Europe



Blanka Škrabić Perić, Žana Vidović


Peric B.S., Vidovic Z. 2017. Heterogeneous Panel Granger causality between GDP and Tourism in 11 EU members in Central and Southeastern Europe. Eastern European Business and Economics Journal 3(1): 6-27.


Full text




This paper investigates the relationship between tourism development and economic growth for 11 Central and South-Eastern European EU members during the period from 1995 to 2013.  Recent empirical studies are mostly focused on proving the tourism–led growth hypothesis, while the other direction of causation or a bidirectional relationship, is rarely investigated. Considering the possibility of the growth- led tourism hypothesis or a bidirectional relationship, as well as heterogeneity among selected countries, the authors use the heterogeneous panel Granger causality test to explore the real relationship between tourism and economic growth. The results significantly confirm heterogeneity in the relationship between GDP and tourism in the countries examined here. The results indicate bidirectional Granger causality between international tourism receipts and GDP for five countries:  The Czech Republic, Hungary, Poland, Romania and Slovakia. GDP growth Granger causes growth of international tourism receipts in Bulgaria and Croatia. For Estonia, Lithuania, Latvia and Slovenia, a causal relationship is not confirmed in any direction.



Tourism development, GDP, heterogeneous panel Granger causality, LSDV corrected estimator


JEL classification:

C23, P2, 01, L83






Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 58(2), 277–297.

Aslan, A. (2014). Tourism development and economic growth in the Mediterranean countries: evidence from panel Granger causality tests. Current Issues in Tourism, 17(4), 363–372.

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.

Bruno, G. S. (2005). Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals. Stata Journal, 5(4), 473–500.

Bruno, G. S. F. (2005). Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models. Economics Letters, 87(3), 361–366.

Bun, M. J. G., & Kiviet, J. F. (2003). On the diminishing returns of higher-order terms in asymptotic expansions of bias. Economics Letters, 79(2), 145–152.

Bun, M. J., & Kiviet, J. F. (2001). The accuracy of inference in small samples of dynamic panel data models. Tinbergen Institute Discussion Paper TI 2001- 006/4, Tinbergen Institute

Chou, M. C. (2013). Does tourism development promote economic growth in transition countries? A panel data analysis. Economic Modelling, 33, 226–232.

Cottrell, S., & Cottrell, J. R. (2015). The State of Tourism in the Baltics. Scandinavian Journal of Hospitality and Tourism, 15(4), 321–326.

Dritsakis, N. (2012). Tourism Development and Economic Growth in Seven Mediterranean Countries: A Panel Data Approach. Tourism Economics, 18(4), 801–816.

Du, D., Lew, A. A., & Ng, P. T. (2016). Tourism and Economic Growth. Journal of Travel Research, 55(4), 454–464.

Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460.

Gricar, S., Bojnec, S., Karadzic, V., & Rakocevic, S. (2016). Comparative Analysis of Tourism-Led Growth in Slovenia and Montenegro. Managing Global Transitions, 14(1), 75–92.

Hegerty, S.W. (2016). Regional Convergence and Growth Clusters in Central and Eastern Europe: An Examination of Sectoral-Level Data. Eastern European Business and Economics Journal, 2(2), 95–110.

Holtz-Eakin, D., Newey, W., & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371–1395.

Hurlin, C., & Venet, B. (2001). Granger Causality Tests in Panel Data Models with Fixed Coefficients. Cahiers de recherche EURISCO, cahier no 2001-09, University of Paris Dauphine.

Judson, R. A., & Owen, A. L. (1999). Estimating dynamic panel data models: a guide for macroeconomists. Economics Letters, 65(1), 9–15.

Kiviet, J. F. (1995). On bias, inconsistency, and efficiency of various estimators in dynamic panel data models. Journal of Econometrics, 68(1), 53–78.

Kónya, L. (2006). Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23(6), 978–992.

Pablo-Romero, M. P., & Molina, J. A. (2013). Tourism and economic growth: A review of empirical literature. Tourism Management Perspectives, 8, 28–41.

Payne, J. E., & Mervar, A. (2010). Research Note: The Tourism–Growth Nexus in Croatia. Tourism Economics, 16(4), 1089–1094.

Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621–634.

Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79–113.

Proença, S., & Soukiazis, E. (2008). Tourism as an Economic Growth Factor: A Case Study for Southern European Countries. Tourism Economics, 14(4), 791–806.

Surugiu, C., & Surugiu, M. R. (2013). Is the Tourism Sector Supportive of Economic Growth? Empirical Evidence on Romanian Tourism. Tourism Economics, 19(1), 115–132.

WTTC (2016). Travel & Tourism Economic impact 2016 World. The World Travel and Tourism Council.