This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Kurzfristige Wachstumseffekte von Naturkatastrophen

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Michael Berlemann ()
Gerit Vogt

Additional information is available for the following registered author(s):

Abstract

Die Häufigkeit von Naturkatastrophen hat in den letzten Jahrzehnten deutlich zugenommen.Vor diesem Hintergrund gewinnt die Frage an Bedeutung, welche ökonomischenKonsequenzen mit dem Auftreten von Naturkatastrophen verbunden sind. In derLiteratur werden sowohl Argumente für positive als auch negative Wachstumseffektediskutiert. In diesem Aufsatz wird mit Hilfe von ökonometrischen Zeitreihenmodellenuntersucht, inwieweit sich die Hochwasserkatastrophe vom August 2002 kurzfristig aufdas Wirtschaftswachstum in Sachsen ausgewirkt hat. Den Ergebnissen zufolge überwogendie positiven Wachstumseffekte. Ohne die Flutkatastrophe wäre das Wachstum dessächsischen Bruttoinlandsproduktes in den Jahren 2002, 2003 und 2004 vermutlich um0,6, 1,8 beziehungsweise 0,5 Prozentpunkte niedriger ausgefallen.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.cesifo-group.de/DocDL/IfoWorkingPaper-52.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Ifo Institute for Economic Research at the University of Munich in its series Ifo Working Paper Series with number Ifo Working Paper No. 52.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2007
Date of revision:
Handle: RePEc:ces:ifowps:_52

Contact details of provider:
Postal: Poschingerstrasse 5, 81679 Munich
Phone: +49 (89) 9224-0
Fax: +49 (89) 985369
Email:
Web page: http://www.cesifo-group.de
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Julio Saavedra).

Related research
Keywords: Naturkatastrophen; Wirtschaftswachstum; Zeitreihenmodelle;

Other versions of this item:

Find related papers by JEL classification:
E27 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation
Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Forecasting real GDP: What role for narrow money?," Working Paper Series 254, European Central Bank. [Downloadable!]
  2. Mark Skidmore & Hideki Toya, 2002. "Do Natural Disasters Promote Long-Run Growth?," Economic Inquiry, Oxford University Press, vol. 40(4), pages 664-687, October.
  3. Wolfgang Nierhaus & Jan-Egbert Sturm, 2003. "Methoden der Konjunkturprognose," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 56(04), pages 7-23, 03.
Full references

Statistics
Access and download statistics

Did you know? RePEc also has a blog.

This page was last updated on 2009-11-28.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.