EC3SLS Estimator for a Simultaneous System of Spatial Autoregressive Equations with Random Effects

Badi H. Baltagi, Ying Deng

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

This article derives a 3SLS estimator for a simultaneous system of spatial autoregressive equations with random effects which can therefore handle endoegeneity, spatial lag dependence, heterogeneity as well as cross equation correlation. This is done by utilizing the Kelejian and Prucha (1998) and Lee (2003) type instruments from the cross-section spatial autoregressive literature and marrying them to the error components 3SLS estimator derived by Baltagi (1981) for a system of simultaneous panel data equations. Our Monte Carlo experiments indicate that, for the single equation spatial error components 2SLS estimators, there is a slight gain in efficiency when Lee (2003) type rather than Kelejian and Prucha (1998) instruments are used. However, there is not much difference in efficiency between these instruments for spatial error components 3SLS estimators.

Original languageEnglish (US)
Pages (from-to)659-694
Number of pages36
JournalEconometric Reviews
Volume34
Issue number6-10
DOIs
StatePublished - May 22 2015

Keywords

  • Error components
  • Panel data
  • Simultaneous equations
  • Spatial model
  • Three-stage least squares

ASJC Scopus subject areas

  • Economics and Econometrics

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