EconPapers    
Economics at your fingertips  
 

Global cargo gravitation model: airports matter for forecasts

Fabian Baier (), Peter Berster and Marc Gelhausen
Additional contact information
Fabian Baier: German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e.V.)
Peter Berster: German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e.V.)

International Economics and Economic Policy, 2022, vol. 19, issue 1, No 8, 219-238

Abstract: Abstract The reliability of forecast models in the aviation sector is an important factor for industry and policy makers likewise. Expanding airports and fleets usually is a cost and time intensive process, and in order to maintain efficient market behavior, accurate anticipation of future demand and structural changes is attempted. We present a new quantitative approach to air cargo forecasts utilizing global airport-dyadic ICAO CASS data in general linearized airport fixed effects gravity models. While the strong explanatory power of our time invariant constant model has its natural difficulties predicting a variety of smaller indicators from previous models found in literature, we achieve very good results for selected time variant variables as gross domestic product per capita or kerosene prices. This makes our model a perfect tool for forecast simulations: extrapolating general economic forecast data provided by IHS Markit yield similar results to Boeing cargo forecasts (2020), with a slight decrease in the long run. Additionally, we do not need to split or control our sample in regional groups due to airport fixed effects, which makes the model on the other hand suitable for country- and airport level forecasts as well. The utilization of a large unique bilateral freight data set also helps answering classical gravity model questions in aviation: we track the distance effect to a matter of sample selection, finding no significant interaction following state of the art gravity econometrics.

Keywords: PPML gravity; Air cargo; Airport fixed effects; Aviation; Traffic; Forecasts (search for similar items in EconPapers)
JEL-codes: C53 F17 F63 F69 R41 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s10368-021-00525-2 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:iecepo:v:19:y:2022:i:1:d:10.1007_s10368-021-00525-2

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10368/PS2

DOI: 10.1007/s10368-021-00525-2

Access Statistics for this article

International Economics and Economic Policy is currently edited by Paul J.J. Welfens, Holger C. Wolf, Christian Pierdzioch and Christian Richter

More articles in International Economics and Economic Policy from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:iecepo:v:19:y:2022:i:1:d:10.1007_s10368-021-00525-2