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  • 1
    UID:
    almafu_BV002261695
    Format: VIII, 158 S. : , graph. Darst.
    ISBN: 3-540-09112-2 , 0-387-09112-2
    Series Statement: Lecture notes in economics and mathematical systems 165 : Econometrics
    Note: Zugl.: Madison, Wisc., Univ., Diss.
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Ökonometrisches Modell ; Identifikation ; Ökonometrie ; Fehlertheorie ; Hochschulschrift ; Hochschulschrift ; Hochschulschrift ; Hochschulschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_BV002261695
    Format: VIII, 158 S. : , graph. Darst.
    ISBN: 3-540-09112-2 , 0-387-09112-2
    Series Statement: Lecture notes in economics and mathematical systems 165 : Econometrics
    Note: Zugl.: Madison, Wisc., Univ., Diss.
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Ökonometrisches Modell ; Identifikation ; Ökonometrie ; Fehlertheorie ; Hochschulschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Berlin, Heidelberg : Springer Berlin Heidelberg
    UID:
    b3kat_BV046871591
    Format: 1 Online-Ressource (VIII, 160 p)
    Edition: 1st ed. 1979
    ISBN: 9783642953392
    Series Statement: Lecture Notes in Economics and Mathematical Systems 165
    Content: Looking at a very simple example of an error-in-variables model, I was surprised at the effect that standard dynamic features (in the form of autocorre­ 11 lation. in the variables) could have on the state of identification of the model. It became apparent that identification of error-in-variables models was less of a problem when some dynamic features were present, and that the cathegory of "pre­ determined variables" was meaningless, since lagged endogenous and truly exogenous variables had very different identification properties. Also, for'the models I was considering, both necessary and sufficient conditions for identification could be expressed as simple counting rules, trivial to compute. These results seemed somewhat striking in the context of traditional econometrics literature, and p- vided the original motivation for this monograph. The monograph, therefore, atempts to analyze econometric identification of models when the variables are measured with error and when dynamic features are present. In trying to generalize the examples I was considering, although the final results had very simple expressions, the process of formally proving them became cumbersome and lengthy (in particular for the "sufficiency" part of the proofs). Possibly this was also due to a lack of more high-powered analytical tools and/or more elegant derivations, for which I feel an apology coul be appropiate. With some minor modifications, this monograph is a Ph. D. dissertation presented to the Department of Economics of the University of Wisconsin, Madison. Thanks are due to. Dennis J. Aigner and Arthur S.
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783540091127
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783642953408
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Ökonometrisches Modell ; Identifikation ; Ökonometrie ; Fehlertheorie ; Hochschulschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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