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中山大学岭南学院高级计量经济学课件（II：Time series）CH4 Unstationary Autoregressive Process
中山大学岭南学院 高级计量经济学 课件（II：Time series） CH4 Unstationary Autoregressive Process
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Time series）CH4 Unstationary Autoregressive Process。
中山大学岭南学院高级计量经济学课件（II：Time series）CH2 Stationary Autoregressive Process
中山大学岭南学院 高级计量经济学 课件（II：Time series） CH2 Stationary Autoregressive Process
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Time series）CH2 Stationary Autoregressive Process。
Spatial Weights Matrix Selection and Model Averaging for Spatial Autoregressive Models
Model Selection Model Averaging Spatial Econometrics Spatial Autoregressive
2016/1/26
Spatial econometrics relies on spatial weights matrix to specify the cross sectional depen-dence, which might not be unique. This paper proposes a model selection procedure to choose an optimal weight...
Spatial Weights Matrix Selection and Model Averaging for Spatial Autoregressive Models
Model Selection Model Averaging Spatial Econometrics Spatial Autoregressive
2016/1/20
Spatial econometrics relies on spatial weights matrix to specify the cross sectional depen-dence, which might not be unique. This paper proposes a model selection procedure to choose an optimal weight...
Near Unit Root in the Spatial Autoregressive Model
Spatial autoregressive model Spatial unit root Near unit root Two stage least square Quasi-maximum likelihood estimatio
2016/1/19
This paper studies the spatial autoregressive (SAR) model for cross sectional data when the true spatial e¤ect parameter is near unity. We decompose the data generating process into an unstable compon...
Impact of price realization on India’s tea export: Evidence from Quantile Autoregressive Distributed Lag Model
export price realization, Quantile Autoregressive Distributed Lag model India
2015/10/9
Th e quantile autoregressive distributed lag model of Galvao et al. (2013) was employed to assess the impact of
price realization on India’s tea export. Th e results of the QADL varied signifi...
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...
ON TWO-STEP ESTIMATION OF A SPATIAL AUTOREGRESSIVE MODEL WITH AUTOREGRESSIVE DISTURBANCES AND ENDOGENOUS REGRESSORS
Cliff–Ord spatial model Generalized method of moments estimation Limited information estimation
2015/9/24
In this paper, we consider a spatial-autoregressive model with autoregressive disturbances,
where we allow for endogenous regressors in addition to a spatial lag of the dependent variable.
We sugges...
Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances
spreg spatial-autoregressive models
2015/9/24
We describe the spreg command, which implements a maximum
likelihood estimator and a generalized spatial two-stage least-squares estimator
for the parameters of a linear cross-sectional spatial-auto...
A command for estimating spatial-autoregressive models with spatial-autoregressive disturbances and additional endogenous variables
spivreg spatial-autoregressive models
2015/9/24
We describe the spivreg command, which estimates the parameters
of linear cross-sectional spatial-autoregressive models with spatial-autoregressive
disturbances, where the model may also contain add...
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...
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...
EFFICIENT IV ESTIMATION FOR AUTOREGRESSIVE MODELSWITH CONDITIONAL HETEROGENEITY
AUTOREGRESSIVE CONDITIONAL HETEROGENEITY
2015/9/22
This paper analyzes autoregressive time series models where the errors are assumed to
be martingale difference sequences that satisfy an additional symmetry condition on their
fourth order mom...