Contemporary developments in the theory and practice of spatial econometrics

Arnab Bhattacharjee, Sean Holly, Jesús Mur

Research output: Contribution to journalEditorial

2 Citations (Scopus)
9 Downloads (Pure)

Abstract

The papers in this special issue cover a wide range of areas in the methodology and application of spatial econometrics. The first develops a generalized method of moments (GMM) estimator for the spatial regression model from a second-order approximation to the maximum likelihood (ML). The second develops Bayesian estimation in a stochastic frontier model with network dependence in efficiencies, with application to industry dynamics. The third studies cross-country convergence under the Lotka–Volterra model and obtains new insights into spatial spillovers. The penultimate paper develops robust specification tests for the social interactions model under both ML and GMM frameworks. The final paper proposes identification and GMM estimation in a high-order spatial autoregressive model with heterogeneity, common factors and spatial error dependence.

Original languageEnglish
Pages (from-to)139-147
Number of pages9
JournalSpatial Economic Analysis
Volume13
Issue number2
Early online date2 Apr 2018
DOIs
Publication statusPublished - 3 Apr 2018

Keywords

  • Bayesian methods
  • generalized method of moments (GMM)
  • Lotka–Volterra model
  • panel data
  • social networks
  • spatial econometrics

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics, Econometrics and Finance(all)
  • Statistics, Probability and Uncertainty
  • Earth and Planetary Sciences (miscellaneous)

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