Arbeitspapier
Panel data estimators and aggregation
For a panel data regression equation with two-way unobserved heterogeneity, individual-specific and period-specific, 'within-individual' and 'within-period' estimators, which can be given Ordinary Least Squares (OLS) or Instrumental Variables (IV) interpretations, are considered. A class of estimators defined as linear aggregates of these estimators, is defined. Nine aggregate estimators, including between, within, and Generalized Least Squares (GLS), are special cases. Other estimators are shown to be more robust to simultaneity and measurement error bias than the standard aggregate estimators and more efficient than the 'disaggregate' estimators. Empirical illustrations relating to manufacturing productivity are given.
- Sprache
-
Englisch
- Erschienen in
-
Series: Memorandum ; No. 19/2016
- Klassifikation
-
Wirtschaft
Estimation: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Index Numbers and Aggregation; Leading indicators
- Thema
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Panel data
Aggregation
IV estimation
Robustness
Method of moments
Factor productivity
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Biørn, Erik
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Oslo, Department of Economics
- (wo)
-
Oslo
- (wann)
-
2016
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Biørn, Erik
- University of Oslo, Department of Economics
Entstanden
- 2016
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