Arbeitspapier

Panel Data with Errors-in-Variables: A Note on Essential and Redundant Orthogonality Conditions in GMM-estimation

General Method of Moments (GMM) estimation of a linear one-equation model using panel data with errors-in-variables is considered. To eliminate fixed individual heterogeneity, the equation is differenced across one or more than one periods and estimated by means of instrumental variables. With non-autocorrelated measurement error, we show that only the one-period and a few two-period differences are essential, i.e. relevant for GMM-estimation. GMM estimation based on all orthogonality conditions on the basis of a generalized inverse formulation is shown to be equivalent to estimation using only the essential orthogonality conditions

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 190

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Hypothesis Testing: General
Estimation: General
Thema
Panel Data
Errors-in-Variables
Instrumental Variables
GMM Estimation
Generalized inverse

Ereignis
Geistige Schöpfung
(wer)
Biørn, Erik
Klette, Tor Jakob
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
1997

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Biørn, Erik
  • Klette, Tor Jakob
  • Statistics Norway, Research Department

Entstanden

  • 1997

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