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Faculty of Economics

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Bhattacharjee, A., Holly, S. and Mur, J.

Contemporary developments in the theory and practice of spatial econometrics

Spatial Economic Analysis

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.

Author links: Sean Holly  

Publisher's Link: https://www.tandfonline.com/doi/full/10.1080/17421772.2018.1449824



Papers and Publications



Recent Publications


Elliott, M. and Golub, B. A network approach to public goods accepted, Journal of Political Economy [2018]

Faraglia, E., Marcet, A., Oikonomou, R. and Scott, A. Government Debt management: the Short and the Long of it Review of Economic Studies, accepted [2018]

Carvalho, V. M. and Grassi, B. Large Firm Dynamics and the Business Cycle American Economic Review [2019]