EconPapers    
Economics at your fingertips  
 

Konjunkturbereinigungsverfahren der Länder: Eine Quasi-Echtzeitanalyse am Beispiel Schleswig-Holsteins

Jens Boysen-Hogrefe

AStA Wirtschafts- und Sozialstatistisches Archiv, 2015, vol. 9, issue 1, 57 pages

Abstract: Due to the debt brake German states are generally not allowed to run deficits. However, transitory deviations from this general rule can be made in response to business cycle fluctuations. Thus, cyclical adjustment is relevant for German states, and here especially with tax revenues. The article compares several methods for cyclical adjustment, namely local linear trends, the HP-filter and the method applied in Rhineland-Palatinate. Further, the impact of changes in tax law and the impact of the tax official projections are discussed. Finally, a real-time trend smoother is proposed to improve planning reliability. Copyright Springer-Verlag Berlin Heidelberg 2015

Keywords: Konjunkturbereinigung; Echtzeitanalyse; Länderfinanzen; Schuldenbremse; Echtzeittrendglätter; Cyclical adjustment; Real-time analysis; Public finance; Debt brake; Real-time trend-smoother (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11943-014-0149-2 (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:spr:astaws:v:9:y:2015:i:1:p:41-57

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11943/PS2

DOI: 10.1007/s11943-014-0149-2

Access Statistics for this article

AStA Wirtschafts- und Sozialstatistisches Archiv is currently edited by Ralf Münnich

More articles in AStA Wirtschafts- und Sozialstatistisches Archiv from Springer, Deutsche Statistische Gesellschaft - German Statistical Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:astaws:v:9:y:2015:i:1:p:41-57