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Unit Averaging for Heterogeneous Panels

Bibliographic Data

ID19417397
AuthorsChristian Brownlees (0000-0003-4276-1468, Libera Università Internazionale degli Studi Sociali Guido Carli), Vladislav Morozov (University of Bonn, corresponding author)
Year2026
Pages1-52
Publication date2026-04-21
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2025.2584579
OpenAlexW4416075642
LanguageEN
Citations received1
References cited42

In this work we introduce a unit averaging procedure to efficiently recover unit-specific parameters in a heterogeneous panel model. The procedure consists in estimating the parameter of a given unit using a weighted average of all the unit-specific parameter estimators in the panel. The weights of the average are determined by minimizing an MSE criterion we derive. We analyze the properties of the resulting minimum MSE unit averaging estimator in a local heterogeneity framework inspired by the literature on frequentist model averaging, and we derive the local asymptotic distribution of the estimator and the corresponding weights. The benefits of the procedure are showcased with an application to forecasting unemployment rates for a panel of German regions

Estimation theory · Estimator · Frequentist inference · Mean squared error · Economic Policies and Impacts · Spatial and Panel Data Analysis · Statistical Methods and Inference

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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