On autoregressive errors in singular systems of equations
Harry Haupt and
Walter Oberhofer
No 410, University of Regensburg Working Papers in Business, Economics and Management Information Systems from University of Regensburg, Department of Economics
Abstract:
Dhrymes (1994, Econometric Theory, 10, 254-285) demonstrates the arising identification and estimation problems in singular equation systems when the error vector obeys an autoregressive scheme, as an extension of restricted least squares. Unfortunately, his main theorem concerning the identification of such systems, does not hold in general, though. Die Identifikations- und Schätzprobleme, die bei singulären System von Regressionsbeziehungen mit autoregressiven Fehlern auftreten, analysiert Dhrymes (1994, Econometric Theory, 10, 254-285) durch eine Erweiterung der restringierten Kleinst-Quadrate-Schätzung. Sein zentrales Theorem zur Identifikation derartiger Systeme gilt jedoch nicht im Allgemeinen.
Keywords: Verallgemeinertes Regressionsmodell; Singuläre Systeme; Identifikation; singular equation systems; identification (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
Date: 2005
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://epub.uni-regensburg.de/4524/1/Haupt_Oberhofer_dp.pdf (application/pdf)
Related works:
Journal Article: On autoregressive errors in singular systems of equations (2005) 
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:bay:rdwiwi:597
Access Statistics for this paper
More papers in University of Regensburg Working Papers in Business, Economics and Management Information Systems from University of Regensburg, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Gernot Deinzer ().