The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Forecasting international quarterly tourist flows using error-correction and time-series models
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Citations
Cites
STATISTICAL ANALYSIS OF COINTEGRATION VECTORS
Johansen, S. (1988) · Journal of Economic Dynamics and Control · doi:10.1016/0165-1889(88)90041-3 · Cited by 17,027
Cited by
Song, H., Qiu, R. T. R., & Park, J. (2019) · Annals of Tourism Research · doi:10.1016/j.annals.2018.12.001 · Cited by 523
Narayan, P. K. (2017) · Figshare · doi:10.26180/5090272 · Cited by 431
Tourism and Economic Growth in Latin American Countries: A Panel Data Approach
Eugenio-Martin, J. L., Martín Morales, N., & Scarpa, R. (2004) · SSRN Electronic Journal · doi:10.2139/ssrn.504482 · Cited by 408
Fiji's Tourism Demand: The ARDL Approach to Cointegration
Narayan, P. K. (2004) · Tourism Economics · doi:10.5367/000000004323142425 · Cited by 314
Time series forecasts of international travel demand for Australia
Lim, C., & McAleer, M. (2002) · Tourism Management · doi:10.1016/s0261-5177(01)00098-x · Cited by 279
Metadata
- Authors
- Kulendran, N., & King, M. L.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 1997-09
- Volume
- 13
- Issue
- 3
- Pages
- 319-327
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W2064840593
- Cited by
- 200
- References
- 1
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Forecasting international quarterly tourist flows using error-correction and time-series models. https://app.cochat.ai/papers/10.1016/s0169-2070(97)00020-4
- The paper
- Kulendran, N., & King, M. L. (1997). Forecasting international quarterly tourist flows using error-correction and time-series models. International Journal of Forecasting. https://doi.org/10.1016/s0169-2070(97)00020-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.