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Spatial Economic Analysis is a pioneering economics journal dedicated to the development of theory and methods in spatial economics. A spatial perspective is more relevant than ever to our understandi...
《Spatial Economic Analysis》Volume 18,Issue 1 (2023)
《Spatial Economic Analysis》 Volume 18 ssue 1
2025/1/3
《Spatial Economic Analysis》Volume 18,Issue 1 (2023).
SPATIAL STATISTICAL ANALYSES TO ASSESS THE SPATIAL EXTENT AND CONCENTRATION OF MULTIDIMENSIONAL POVERTY IN GAUTENG USING THE SOUTH AFRICAN MULTIDIMENSIONAL POVERTY INDEX
Multidimensional Poverty SAMPI Spatial Autocorrelation Global Moran’s I LISA
2018/11/8
Assessment of poverty has generally been carried out using “money-metric” measures. But since poverty is multidimensional, these measures fall short of generating a comprehensive picture of the poor. ...
第七届中国区域、城市和空间经济国际研讨会（The 7th International Workshop on Regional, Urban, and Spatial Economics in China）
第七届 中国 区域 城市 空间经济 国际研讨会
2018/1/20
The College of Economics and Trade, Hunan University, together with International Regional Science Review, Journal of Regional Science, Spatial Economic Analysis, Growth and Change, Journal of Social ...
第六届国际区域、城市及空间经济研讨会（The Sixth International Workshop on Regional, Urban, and Spatial Economics in China）
第六届 国际区域 城市 空间经济 研讨会
2017/2/21
The Wang Yanan Institute for Studies in Economics (WISE) and the School of Economics (SOE), Xiamen University, together with Spatial Economic Analysis, Journal of Regional Science, Papers in Regional ...
A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances
Spatial autoregressive model two-stage least squares generalized moments estimation
2015/9/24
Cross-sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor or a disturbance term that is spatially autoregressive. In this article we describe a computati...
INSTRUMENTAL VARIABLE ESTIMATION OF A SPATIAL AUTOREGRESSIVE MODEL WITH AUTOREGRESSIVE DISTURBANCES:LARGE AND SMALL SAMPLE RESULTS
INSTRUMENTAL VARIABLE ESTIMATION SPATIAL AUTOREGRESSIVE MODEL AUTOREGRESSIVE DISTURBANCES LARGE AND SMALL SAMPLE
2015/9/24
The purpose of this paper is two-fold. First, on a theoretical level we introduce a series-type instrumental variable (IV) estimator of the parameters of a spatial first order autoregressive model wit...
ESTIMATION PROBLEMS IN MODELS WITH SPATIAL WEIGHTING MATRICES WHICH HAVE BLOCKS OF EQUAL ELEMENTS
SPATIAL WEIGHTING MATRICES HAVE BLOCKS EQUAL ELEMENTS
2015/9/24
Spatial models whose weighting matrices have blocks of equal elements might be considered if units are viewed as equally distant within certain neighborhoods, but unrelated between neighborhoods. We g...
HAC estimation in a spatial framework
Heteroscedasticity and autocorrelation consistent (HAC) estimator Instrumental variable estimator Spatial models
2015/9/24
We suggest a non-parametric heteroscedasticity and autocorrelation consistent (HAC) estimator of the variance–covariance (VC) matrix for a vector of sample moments within a spatial context. Wedemonstr...
A SPATIAL CLIFF-ORD-TYPE MODEL WITH HETEROSKEDASTIC INNOVATIONS: SMALL AND LARGE SAMPLE RESULTS
SPATIAL CLIFF-ORD-TYPE MODEL HETEROSKEDASTIC INNOVATIONS SMALL AND LARGE SAMPLE RESULTS
2015/9/24
In this paper, we specify a linear Cliff-and-Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the dist...
Spatial models with spatially lagged dependent variables and incomplete data
Spatial models Missing data Instrumental variable estimation
2015/9/24
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent variables, and an inco...
The relative efficiencies of various predictors in spatial econometric models containing spatial lags
Spatial models with spatial lags Optimal and suboptimal prediction efficiencies BLUP Kriging
2015/9/24
The purpose of this paper is to describe prediction efficiencies of various suboptimal predictors relative to the efficient (kriging) minimum mean square error predictor in spatial models containing s...
2SLS and OLS in a spatial autoregressive model with equal spatial weights
Spatial autoregressive models Row normalized and equal spatial weights Ordinary least squares Two stage least squares Panel data
2015/9/24
The paper considers a Cliff–Ord type spatial model with a spatially lagged dependentvariable and a row normalized weighting matrix with equal weights. We show that the 2SLSand OLS estimators are incon...
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances
Spatial dependence Heteroskedasticity Cliff–Ord model Two-stage least squares Generalized moments estimation Asymptotics
2015/9/24
This study develops a methodology of inference for a widely used Cliff–Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while a...
Finite sample properties of estimators of spatial autoregressive models with autoregressive disturbances
Spatial autoregressive models ordinary least squares two-stage least squares maximum likelihood finite sample distribution
2015/9/24
The article investigates the finite sample properties of estimators for spatial autoregressive models where the disturbance terms may follow a spatial autoregressive process. In particular we investig...