Refinements in maximum likelihood inference on spatial autocorrelation in panel data
type: Item
instance of: scholarly article
title: Refinements in maximum likelihood inference on spatial autocorrelation in panel data
zbMATH Open document ID: 1337.62279
author: N. E. Zubov
published in: Journal of Econometrics
publication date: 2015-10-30T00:00:00Z
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 6502490
zbMATH Keywords: panel data
zbMATH Keywords: fixed effects
zbMATH Keywords: spatial autoregression
zbMATH Keywords: Edgeworth expansion
zbMATH Keywords: interval estimates
zbMATH Keywords: tests for cross-sectional independence
MaRDI profile type: Publication
full work available at URL: j.jeconom.2015.03.036
OpenAlex ID: W2293678402
cites work: Finite sample properties of maximum likelihood estimator in spatial models
cites work: On the validity of the formal Edgeworth expansion
cites work: The bootstrap and Edgeworth expansion
cites work: CONSISTENCY AND EFFICIENCY OF LEAST SQUARES ESTIMATION FOR MIXED REGRESSIVE, SPATIAL AUTOREGRESSIVE MODELS
cites work: Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models
cites work: EFFICIENT GMM ESTIMATION OF HIGH ORDER SPATIAL AUTOREGRESSIVE MODELS WITH AUTOREGRESSIVE DISTURBANCES
cites work: Estimation of spatial autoregressive panel data models with fixed effects
cites work: Q5769988
cites work: Improved Lagrange multiplier tests in spatial autoregressions
cites work: Asymptotic expansions of the distributions of some test statistics for Gaussian ARMA processes
DOI: 10.1016/J.JECONOM.2015.03.036
description: scientific article; zbMATH DE number 6502490