EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Orthogonalized Impulse Response Function"
Narrow search

Narrow search

Year of publication
Subject
All
Generalized Impulse Response Function 3 Orthogonalized Impulse Response Function 3 Vector Autoregressive Models 3 Estimation 1 Estimation theory 1 Nichtlineare Regression 1 Nonlinear regression 1 Schock 1 Schätztheorie 1 Schätzung 1 Shock 1 Time series analysis 1 VAR model 1 VAR-Modell 1 Zeitreihenanalyse 1
more ... less ...
Online availability
All
Free 2
Type of publication
All
Book / Working Paper 2 Article 1
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
Undetermined 2 English 1
Author
All
Kim, Hyeongwoo 2 Hyeongwoo, Kim 1
Institution
All
Department of Economics, Auburn University 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
Auburn Economics Working Paper Series 1 EconoQuantum : Revista de Economía y Negocios 1 MPRA Paper 1
Source
All
RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
Cover Image
Generalized impulse response analysis : general or extreme?
Kim, Hyeongwoo - In: EconoQuantum : Revista de Economía y Negocios 10 (2013) 2, pp. 135-141
Persistent link: https://www.econbiz.de/10011556252
Saved in:
Cover Image
Generalized Impulse Response Analysis: General or Extreme?
Kim, Hyeongwoo - Department of Economics, Auburn University - 2012
This note discusses a pitfall of using the generalized impulse response function (GIRF) in vector autoregressive (VAR) models (Pesaran and Shin, 1998). The GIRF is general because it is invariant to the ordering of the variables in the VAR. The GIRF, in fact, is extreme because it yields a set...
Persistent link: https://www.econbiz.de/10010862314
Saved in:
Cover Image
Generalized Impulse Response Analysis: General or Extreme?
Hyeongwoo, Kim - Volkswirtschaftliche Fakultät, … - 2009
This note discusses a pitfall of using the generalized impulse response function (GIRF) in vector autoregressive (VAR) models (Pesaran and Shin, 1998). The GIRF is general because it is invariant to the ordering of the variables in the VAR. The GIRF, in fact, is extreme because it yields a set...
Persistent link: https://www.econbiz.de/10005105929
Saved in:
A service of the
zbw
FAQ-Assistent (beta)
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...