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:"factor loading stability"
Narrow search

Narrow search

Year of publication
Subject
All
diffusion index 3 factor loading stability 3 forecast failure 3 forecast stability 3 regression coefficient stability 3 Diffusion index 2 Estimation theory 2 Factor loading stability 2 Forecast 2 Forecast failure 2 Forecast stability 2 Forecasting model 2 Prognose 2 Prognoseverfahren 2 Regression analysis 2 Regression coefficients stability 2 Regressionsanalyse 2 Schätztheorie 2
more ... less ...
Online availability
All
Free 1 Undetermined 1
Type of publication
All
Book / Working Paper 3 Article 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Conference paper 1 Graue Literatur 1 Konferenzbeitrag 1 Non-commercial literature 1
more ... less ...
Language
All
English 3 Undetermined 2
Author
All
Corradi, Valentina 4 Swanson, Norman R. 3 Swanson, Norman 1
Institution
All
Department of Economics, Rutgers University-New Brunswick 1
Published in...
All
Departmental Working Papers / Department of Economics, Rutgers University-New Brunswick 1 Journal of Econometrics 1 Journal of econometrics 1 Working Paper 1 Working papers / Rutgers University, Department of Economics 1
Source
All
ECONIS (ZBW) 2 RePEc 2 EconStor 1
Showing 1 - 5 of 5
Cover Image
Testing for structural stability of factor augmented forecasting models
2013
Mild factor loading instability, particularly if sufficiently independent across the different constituent variables, does not affect the estimation of the number of factors, nor subsequent estimation of the factors themselves (see e.g. Stock and Watson (2009)). This result does not hold in the...
Persistent link: https://www.econbiz.de/10010334254
Saved in:
Cover Image
Testing for structural stability of factor augmented forecasting models
Corradi, Valentina; Swanson, Norman R. - In: Journal of Econometrics 182 (2014) 1, pp. 100-118
Mild factor loading instability, particularly if sufficiently independent across the different constituent variables, does not affect the estimation of the number of factors, nor subsequent estimation of the factors themselves (see e.g.  Stock and Watson (2009)). This result does not hold in...
Persistent link: https://www.econbiz.de/10011052274
Saved in:
Cover Image
Testing for structural stability of factor augmented forecasting models
Corradi, Valentina; Swanson, Norman R. - In: Journal of econometrics 182 (2014) 1, pp. 100-118
Persistent link: https://www.econbiz.de/10010497112
Saved in:
Cover Image
Testing for Structural Stability of Factor Augmented Forecasting Models
Corradi, Valentina; Swanson, Norman - Department of Economics, Rutgers University-New Brunswick - 2013
Mild factor loading instability, particularly if sufficiently independent across the different constituent variables, does not affect the estimation of the number of factors, nor subsequent estimation of the factors themselves (see e.g. Stock and Watson (2009)). This result does not hold in the...
Persistent link: https://www.econbiz.de/10010678596
Saved in:
Cover Image
Testing for structural stability of factor augmented forecasting models
Corradi, Valentina; Swanson, Norman R. - 2013
Mild factor loading instability, particularly if sufficiently independent across the different constituent variables, does not affect the estimation of the number of factors, nor subsequent estimation of the factors themselves (see e.g. Stock and Watson (2009)). This result does not hold in the...
Persistent link: https://www.econbiz.de/10009766692
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...