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The Structure of Tourism Revenues in Turkey: Evidence from Fractional Integration under Multiple Structural Breaks

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  • Burcu Kiran

Abstract

This paper investigates time series properties of the tourism revenues in Turkey over the period from 1997:01 through 2010:03. First, we determine the integration order by using different versions of Robinson tests. Second, we test if the tourism revenues show any structural changes over the sample period under consideration by using Bai and Perron multiple structural break tests. The results show that the tourism revenues follow a non-stationary long memory process when we ignore potential structural breaks. When we take structural breaks into consideration and adjust data for the breaks, we still find some evidence of non-stationary long memory behavior in tourism revenues. These results imply that shocks to tourism revenues in Turkey have a permanent effect.

Suggested Citation

  • Burcu Kiran, 2010. "The Structure of Tourism Revenues in Turkey: Evidence from Fractional Integration under Multiple Structural Breaks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 85-96.
  • Handle: RePEc:bas:econst:y:2010:i:4:p:85-96
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    References listed on IDEAS

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    1. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    2. Kulendran, N. & King, Maxwell L., 1997. "Forecasting international quarterly tourist flows using error-correction and time-series models," International Journal of Forecasting, Elsevier, vol. 13(3), pages 319-327, September.
    3. Gil-Alana, Luis A., 2002. "Structural breaks and fractional integration in the US output and unemployment rate," Economics Letters, Elsevier, vol. 77(1), pages 79-84, September.
    4. L. A. Gil-Alana & P. M. Robinson, 2001. "Testing of seasonal fractional integration in UK and Japanese consumption and income," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 95-114.
    5. Yao, Yi-Ching, 1988. "Estimating the number of change-points via Schwarz' criterion," Statistics & Probability Letters, Elsevier, vol. 6(3), pages 181-189, February.
    6. Gil-Alana, Luis A., 2000. "Mean reversion in the real exchange rates," Economics Letters, Elsevier, vol. 69(3), pages 285-288, December.
    7. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
    8. Gil-Ala├▒a, L. A. & Robinson, Peter M., 2001. "Testing of seasonal fractional integration in UK and Japanese consumption and income," LSE Research Online Documents on Economics 298, London School of Economics and Political Science, LSE Library.
    9. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    10. Christine Lim & Michael McAleer, 2001. "Time Series Forecasts of International Tourism Demand for Australia," ISER Discussion Paper 0533, Institute of Social and Economic Research, Osaka University.
    11. Gil-Alana, Luis A., 1999. "Testing fractional integration with monthly data," Economic Modelling, Elsevier, vol. 16(4), pages 613-629, December.
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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E0 - Macroeconomics and Monetary Economics - - General

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