Rights statement: This is the author’s version of a work that was accepted for publication in Annals of Tourism Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Annals of Tourism Research 75, 2019 DOI: 10.1016/j.annals.2019.02.001
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Cross-temporal coherent forecasts for Australian tourism
AU - Kourentzes, Nikolaos
AU - Athanasopoulos, George
N1 - This is the author’s version of a work that was accepted for publication in Annals of Tourism Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Annals of Tourism Research 75, 2019 DOI: 10.1016/j.annals.2019.02.001
PY - 2019/3/31
Y1 - 2019/3/31
N2 - Key to ensuring a successful tourism sector is timely policy making and detailed planning. National policy formulation and strategic planning requires long-term forecasts at an aggregate level, while regional operational decisions require short-term forecasts, relevant to local tourism operators. For aligned decisions at all levels, supporting forecasts must be `coherent', that is they should add up appropriately, across relevant demarcations (e.g., geographical divisions or market segments) and also across time. We propose an approach for generating coherent forecasts across both cross-sections and planning horizons for Australia. This results in significant improvements in forecast accuracy with substantial decision making benefits. Coherent forecasts help break intra- and inter-organisational information and planning silos, in a data driven fashion, blending information from different sources.
AB - Key to ensuring a successful tourism sector is timely policy making and detailed planning. National policy formulation and strategic planning requires long-term forecasts at an aggregate level, while regional operational decisions require short-term forecasts, relevant to local tourism operators. For aligned decisions at all levels, supporting forecasts must be `coherent', that is they should add up appropriately, across relevant demarcations (e.g., geographical divisions or market segments) and also across time. We propose an approach for generating coherent forecasts across both cross-sections and planning horizons for Australia. This results in significant improvements in forecast accuracy with substantial decision making benefits. Coherent forecasts help break intra- and inter-organisational information and planning silos, in a data driven fashion, blending information from different sources.
KW - Forecasting
KW - Cross-sectional aggregation
KW - Temporal aggregation
KW - Forecast combination
KW - Spatial correlations
U2 - 10.1016/j.annals.2019.02.001
DO - 10.1016/j.annals.2019.02.001
M3 - Journal article
VL - 75
SP - 393
EP - 409
JO - Annals of Tourism Research
JF - Annals of Tourism Research
SN - 0160-7383
ER -