DEMAND FORECASTING IN REGIONAL AIRPORTS: DYNAMIC TOBIT MODELS WITH GARCH ERRORS

Karlaftis, M

dc.contributor.author	Karlaftis, M	en
dc.date.accessioned	2014-03-01T01:56:38Z
dc.date.available	2014-03-01T01:56:38Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28204
dc.relation.uri	http://www.tgl.ufrj.br/viisitraer/pdf/312.pdf	en
dc.subject	Demand Estimation	en
dc.subject	Demand Forecasting	en
dc.subject	Design Process	en
dc.subject	Dwell Time	en
dc.subject	Model Combination	en
dc.subject	Model Specification	en
dc.subject	Parameter Estimation	en
dc.subject	Seasonal Variation	en
dc.subject	Seasonality	en
dc.subject	Tobit Model	en
dc.subject	Air Traffic Control	en
dc.title	DEMAND FORECASTING IN REGIONAL AIRPORTS: DYNAMIC TOBIT MODELS WITH GARCH ERRORS	en
heal.type	journalArticle	en
heal.publicationDate	2008	en
heal.abstract	In this paper we discuss the general issue of forecasting highly seasonal demand in regional airports, where peak flows approach airport capacity. For this, we propose a modeling combination, dynamic Tobit models with GARCH errors/disturbances, that is able to capture many of the shortcomings of most traditional models. Models are calibrated using monthly passenger and flight data for a 20	en