Arbeitspapier

How is generalized least squares related to within and between estimators in unbalanced panel data?

For a random effects regression model with unbalanced panel data, we demonstrate that the Generalized Least Squares (GLS) estimator can be expressed as a (matrix) weighted average of estimators which utilize the within individual and the between individual variation in the data set. We thus generalize a relationship familiar for balanced panel data. Specific attention must be given to the intercept of the regression. We also define an estimator containing the GLS, the within individual, and the between individual estimators for balanced and unbalanced data as special cases.

Language
Englisch

Bibliographic citation
Series: Memorandum ; No. 2001,6

Classification
Wirtschaft
Estimation: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Subject
Panel Data
Unbalanced panels
Missing observations
Random effects
Generalized Least Squares
Within estimation
Between estimation

Event
Geistige Schöpfung
(who)
Biørn, Erik
Event
Veröffentlichung
(who)
University of Oslo, Department of Economics
(where)
Oslo
(when)
2001

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Biørn, Erik
  • University of Oslo, Department of Economics

Time of origin

  • 2001

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