Forecasting with panel data

Research output: Contribution to journalArticle

143 Scopus citations

Abstract

This paper gives a brief survey of forecasting with panel data. It begins with a simple error component regression model and surveys the best linear unbiased prediction under various assumptions of the disturbance term. This includes various ARMA models as well as spatial autoregressive models. The paper also surveys how these forecasts have been used in panel data applications, running horse races between heterogeneous and homogeneous panel data models using out-of-sample forecasts.

Original languageEnglish (US)
Pages (from-to)153-173
Number of pages21
JournalJournal of Forecasting
Volume27
Issue number2
DOIs
StatePublished - Mar 1 2008

Keywords

  • BLUP
  • Forecasting
  • Heterogeneous panels
  • Panel data
  • Serial correlation
  • Spatial dependence

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research

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