Scandinavian Working Papers in Economics

Oslo University, Department of Economics

No 19/2016: Panel data estimators and aggregation

Erik Biørn ()
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Erik Biørn: Dept. of Economics, University of Oslo, Postal: Department of Economics, University of Oslo, P.O Box 1095 Blindern, N-0317 Oslo, Norway

Abstract: 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.

Keywords: Panel data; Aggregation; IV estimation; Robustness; Method of moments; Factor productivity

JEL-codes: C13; C23; C43

18 pages, December 17, 2016

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