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

Unknown author

13 citations0/0 files storedDSpace - NTUA (National Technical University of Athens)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Aviation Industry Analysis and Trends Forecasting Techniques and Applications Air Traffic Management and Optimization

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

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 13 citations exist upstream.

References

1986Generalized autoregressive conditional heteroskedasticity 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation 1990Econometric Models and Economic Forecasts 1987A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return 2003Statistical and Econometric Methods for Transportation Data Analysis 1983Transportation demand analysis 1996Methodological Framework for Air-Travel Demand Forecasting 1996DEMAND FOR PUBLIC AND PRIVATE PASSENGER TRANSPORT IN THE UNITED STATES

Cited by

2016Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport 2022Macroeconomic Determinants of Air passenger Demand in Egypt

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.