haku: @indexterm Regression analysis / yhteensä: 420
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Tekijä:Kulendran, N.
Witt, S. F.
Otsikko:Cointegration versus least squares regression
Lehti:Annals of Tourism Research
2001 : VOL. 28:2, p. 291-311
Asiasana:Tourism
Tourist industry
Management research
Forecasting
Regression analysis
Kieli:eng
Tiivistelmä:The purpose of this paper is to investigate whether or not the reason for the poor forecasting performance of least squares regression models of international tourism demand is the failure to adopt recent developments in econometric methods. In order to carry out this investigation, the forecasting performance of error correction models (ECMs) is compared with the performance of least squares regression models.
SCIMA tietueen numero: 220805
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