[
Agiomirgianakis, G., Serenis, D., Tsounis, N. (2017). Effective timing of tourism policy: The case of Singapore. Economic Modelling, 60, 29–38. DOI: 10.1016/j.econmod.2016.09.001.
]Search in Google Scholar
[
Alola, U.V., Cop, S., Adewale Alola, A. (2019). The spillover effects of tourism receipts, political risk, real exchange rate, and trade indicators in Turkey. International Journal of Tourism Research, 21(6), 813–823. DOI: 10.1002/jtr.2307.
]Search in Google Scholar
[
Attard, J. (2019). Public Debt and economic growth nexus: a dynamic panel ARDL approach.
]Search in Google Scholar
[
Antonakakis, N., Gupta, R., Kollias, C., Papadamou, S. (2017). Geopolitical risks and the oil-stock nexus over 1899–2016. Finance Research Letters, 23, 165–173. DOI: 10.1016/j. frl.2017.07.017.
]Search in Google Scholar
[
Balcilar, M., Bonato, M., Demirer, R., Gupta, R. (2018). Geopolitical risks and stock market dynamics of the BRICS. Economic Systems, 42(2), 295–306. DOI: 10.1016/j.ecosys.2017.05.008.
]Search in Google Scholar
[
Balli, F., Uddin, G.S., Shahzad, S.J.H. (2019). Geopolitical risk and tourism demand in emerging economies. Tourism Economics, 25(6), 997–1005. DOI: 10.1177/1354816619831824.
]Search in Google Scholar
[
Bassil, C., Saleh, A.S., Anwar, S. (2019). Terrorism and tourism demand: A case study of Lebanon, Turkey and Israel. Current Issues in Tourism, 22(1), 50–70. DOI: 10.1080/13683500.2017.1397609.
]Search in Google Scholar
[
Bayraktaroğlu, E., Gürsoy, S., Günay, F., Karakuş, Y. (2021). Geopolitical Risks and International Tourist Arrivals to Turkey: a Causality Study. Anais Brasileiros de Estudos Turísticos. DOI: 10.5281/zenodo.5771032.
]Search in Google Scholar
[
Blackburne III, E.F., Frank, M.W. (2007). Estimation of nonstationary heterogeneous panels. The Stata Journal, 7(2), 197–208. DOI: 10.1177/1536867X0700700204.
]Search in Google Scholar
[
Caldara, D., Iacoviello, M. (2018). Measuring geopolitical risk. FRB International Finance Discussion Paper (1222).
]Search in Google Scholar
[
Caldara, D., Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194–1225. DOI: 10.17016/IFDP.2018.1222r1.
]Search in Google Scholar
[
Chudik, A., Mohaddes, K., Pesaran, M.H., Raissi, M. (2016). Long-run effects in large heterogeneous panel data models with cross-sectionally correlated errors. In: Essays in Honor of Aman Ullah. Emerald Group Publishing Limited. DOI: 10.1108/S0731-905320160000036013.
]Search in Google Scholar
[
Das, D., Kannadhasan, M., Bhattacharyya, M. (2019). Do the emerging stock markets react to international economic policy uncertainty, geopolitical risk and financial stress alike? The North American Journal of Economics and Finance, 48, 1–19. DOI: 10.1016/j.najef. 2019.01.008.
]Search in Google Scholar
[
Demir, E., Gözgör, G. (2018). Does economic policy uncertainty affect Tourism? Annals of Tourism Research, 69(C), 15–17. DOI: 10.1016/j.annals.2017.12.005.
]Search in Google Scholar
[
Demir, E., Gozgor, G., Paramati, S.R. (2019). Do geopolitical risks matter for inbound tourism? Eurasian Business Review, 9(2), 183–191.
]Search in Google Scholar
[
Demir, E., Simonyan, S., Chen, M.H., Lau, C.K.M. (2020). Asymmetric effects of geopolitical risks on Turkey’s tourist arrivals. Journal of Hospitality and Tourism Management, 45, 23–26. DOI: 10.1016/j.jhtm.2020.04.006.
]Search in Google Scholar
[
Ditzen, J. (2021). Estimating long-run effects and the exponent of cross-sectional dependence: An update to xtdcce2. The Stata Journal, 21(3), 687–707. DOI: 10.1177/1536867X211045560.
]Search in Google Scholar
[
itzen, J. (2018). Estimating dynamic common-correlated effects in Stata. The Stata Journal, 18(3), 585–617., DOI: 10.1177/1536867X1801800306.
]Search in Google Scholar
[
Drakos, K. (2004). Terrorism-induced structural shifts in financial risk: airline stocks in the aftermath of the September 11th terror attacks. European Journal of Political Economy, 20(2), 435–446. DOI: 10.1016/j.ejpoleco.2003.12.010.
]Search in Google Scholar
[
Ghaderi, Z., Saboori, B., Khoshkam, M. (2017). Does security matter in tourism demand? Current Issues in Tourism, 20(6), 552–565. DOI: 10.1080/13683500.2016.1161603.
]Search in Google Scholar
[
Gholipour, H.F., Tajaddini, R., Al-Mulali, U. (2014). Does personal freedom influence outbound tourism? Tourism Management, 41, 19–25. DOI: 10.1016/j.tourman.2013.08.010.
]Search in Google Scholar
[
Goh, C. (2012). Exploring impact of climate on tourism demand. Annals of tourism research, 39(4), 1859–1883. DOI: 10.1016/j.annals.2012.05.027.
]Search in Google Scholar
[
Gozgor, G., Demir, E., Bilgin, M.H. (2017). The effects of the military in politics on the inbound tourism: evidence from Turkey. Asia Pacific Journal of Tourism Research, 22(8), 885–893. DOI: 10.1080/10941665.2017.1343196.
]Search in Google Scholar
[
Hailemariam, A., Ivanovski, K. (2021). The impact of geopolitical risk on tourism. Current Issues in Tourism, 24(22), 3134–3140. DOI: 10.1080/13683500.2021.1876644.
]Search in Google Scholar
[
Kazakova, A., Kim, I. (2021). Geopolitical-Risk and Economic Policy – Uncertainty Impacts on Tourist Flows from Neighboring Countries: A Wavelet Analysis. Sustainability, 13(24), 13751. DOI: 10.3390/su132413751.
]Search in Google Scholar
[
Krakover, S. (2013). Developing tourism alongside threats of wars and atrocities: the case of Israel: Shaul Krakover. In: Tourism and War (pp. 144–154). Routledge.
]Search in Google Scholar
[
Lanouar, C., Goaied, M. (2019). Tourism, terrorism and political violence in Tunisia: Evidence from Markov-switching models. Tourism Management, 70, 404–418. DOI: 10.1016/j. tourman.2018.09.002.
]Search in Google Scholar
[
Lee, C.C., Olasehinde‐Williams, G., Akadiri, S.S. (2021). Geopolitical risk and tourism: Evidence from dynamic heterogeneous panel models. International Journal of Tourism Research, 23(1), 26–38. DOI: 10.1002/jtr.2389.
]Search in Google Scholar
[
Iacoviello, M. (2022). Average Country Geopolitical risk index.
]Search in Google Scholar
[
Iacoviello, M. (2022). Average Historical Country Geopolitical risk index.
]Search in Google Scholar
[
Mark, N.C., Sul, D. (2003). Cointegration vector estimation by panel DOLS and long‐run money demand. Oxford Bulletin of Economics and statistics, 65(5), 655–680. DOI: 10.1111/j.1468-0084.2003.00066.x.
]Search in Google Scholar
[
Muzindutsi, P., Manaliyo, J.C. (2016). Effect of Political Risk Shocks on Tourism Revenue in South Africa: Time Series Analysis. International Journal of Business and Management Studies, 8(2), 169–186.
]Search in Google Scholar
[
Neguţ, S. (2008). Geopolitica: universul puterii. Meteor Press.
]Search in Google Scholar
[
Negut, S., Neacsu, M.C. (2013). Tourism, expression of freedom in the global era. International Journal for responsible tourism, 2(3), 45.
]Search in Google Scholar
[
Nguyen, L.P., Nguyen, H.T. (2021). Factors Impacting Tourism Demand: An Analysis of 10 ASEAN Countries. The Journal of Asian Finance, Economics, and Business, 8(1), 385–393.
]Search in Google Scholar
[
Nowak-Lehmann D.F., Herzer, D., Vollmer, S., Martínez-Zarzoso, I. (2006). Problems in applying dynamic panel data models: Theoretical and empirical findings (No. 140). IAI Discussion Papers.
]Search in Google Scholar
[
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.
]Search in Google Scholar
[
Pesaran, M.H., Shin, Y., Smith, R.P. (1999). Theory and Methods-Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621–634.
]Search in Google Scholar
[
Petroleum & Other liquids (2022). Data base. Oil price crude.
]Search in Google Scholar
[
Ram, Y., Nawijn, J., Peeters, P. (2014). Happiness and limits to sustainable tourism mobility: A new conceptual model. In: Understanding and Governing Sustainable Tourism Mobility (pp. 57–78). Routledge.
]Search in Google Scholar
[
Saha, S., Yap, G. (2014). The moderation effects of political instability and terrorism on tourism development: A cross-country panel analysis. Journal of Travel Research, 53(4), 509–521. DOI: 10.1177/0047287513496472.
]Search in Google Scholar
[
Saha, S., Su, J.J., Campbell, N. (2017). Does political and economic freedom matter for inbound tourism? A cross-national panel data estimation. Journal of Travel research, 56(2), 221–234. DOI: 10.1177/0047287515627028.
]Search in Google Scholar
[
Statista (2021). Number of international tourist arrivals worldwide by region.
]Search in Google Scholar
[
Tang, C.F. (2018). The impacts of governance and institutions on inbound tourism demand: evidence from a dynamic panel data study. Asia Pacific Journal of Tourism Research, 23(10), 1000–1007. DOI: 10.1080/10941665.2018.1513052.
]Search in Google Scholar
[
Tavares, J. (2004). The open society assesses its enemies: shocks, disasters and terrorist attacks. Journal of monetary economics, 51(5), 1039–1070. DOI: 10.1016/j. jmoneco.2004.04.009.
]Search in Google Scholar
[
United Nations World Tourism Organisation (UNWTO) (2022). International tourist arrivals.
]Search in Google Scholar
[
Uriely, N., Maoz, D., Reichel, A. (2009). Israeli guests and Egyptian hosts in Sinai: A bubble of serenity. Journal of Travel Research, 47(4), 508–522. DOI: 10.1177/0047287508326651.
]Search in Google Scholar
[
The World Bank (2021). Data base. GDP per capita.
]Search in Google Scholar
[
Zhang, H., Jiang, Z., Gao, W., Yang, C. (2022). Time-varying impact of economic policy uncertainty and geopolitical risk on tourist arrivals: Evidence from a developing country. Tourism Management Perspectives, 41, 100928. DOI: 10.1016/j.tmp.2021.100928.
]Search in Google Scholar
[
Pesaran, M.H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967–1012. DOI: 10.1111/j.1468-0262.2006.00692.x.
]Search in Google Scholar
[
Chudik, A., Pesaran, M.H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of econometrics, 188(2), 393–420. DOI: 10.1016/j.jeconom.2015.03.007.
]Search in Google Scholar
[
Eberhardt, M. (2012). Estimating panel time-series models with heterogeneous slopes. The Stata Journal, 12(1), 61–71. DOI: 10.1177/1536867X1201200105.
]Search in Google Scholar
[
Pesaran, M.H., Shin, Y., Smith, R.J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289–326. DOI: 10.1002/jae.616.
]Search in Google Scholar
[
Kripfganz, S., Schneider, D.C. (2017). Speeding Up the ARDL Estimation Command: A Case Study in Efficient Programming in Stata.
]Search in Google Scholar
[
Pesaran, M.H., Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. DOI: 10.1016/j.jeconom.2007.05.010.
]Search in Google Scholar
| 09 gru 2023