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Regression model

Augmented Mean Group (AMG) Estimator

Augmented Mean Group-estimatoren, udviklet af Eberhardt og Teal (2010), er en paneldatametode til estimering af heterogene hældningskoefficienter i nærvær af tværsnitsafhængighed. Den approksimerer den uobserverede fælles dynamiske proces, der driver alle enheder, og folder den ind i enheds-for-enheds regressioner, hvorefter resultaterne gennemsnitsberegnes.

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Kilder

  1. Eberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, No. 515, University of Oxford. link
  2. Bond, S. & Eberhardt, M. (2013). Accounting for Unobserved Heterogeneity in Panel Time Series Models. Nuffield College Discussion Paper. link

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ScholarGate. (2026, June 1). Augmented Mean Group (AMG) Estimator. ScholarGate. https://scholargate.app/da/econometrics/amg-estimator

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ScholarGateAugmented Mean Group Estimator (Augmented Mean Group (AMG) Estimator). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/amg-estimator · Datasæt: https://doi.org/10.5281/zenodo.20539026