Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/73521
Authors: 
Umlauf, Nikolaus
Mayr, Georg
Messner, Jakob
Zeileis, Achim
Year of Publication: 
2011
Series/Report no.: 
Working Papers in Economics and Statistics 2011-25
Abstract: 
It is popular belief that the weather is bad more frequently on weekends than on other days of the week and this is often perceived to be associated with an increased chance of rain. In fact, the meteorological literature does report some evidence for such human-induced weekly cycles although these findings are not undisputed. To contribute to this discussion, a modern data-driven approach using structured additive regression models is applied to a newly available high-quality data set for Austria. The analysis investigates how an ordered response of rain intensities is influenced by a (potential) weekend effect while adjusting for spatio-temporal structure using spatially varying effects of overall level and seasonality patterns. The underlying data are taken from the HOMSTART project which provides daily precipitation quantities over a period of more than 60 years and a dense net of more than 50 meteorological stations all across Austria.
Subjects: 
rainfall
generalized additive model
structured additive regression model
ordered probit model
HOMSTART
BayesX
R
JEL: 
C14
C23
Q54
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.