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Weighted-average least squares applied to spatial econometric models: A monte carlo investigation
Hajime Seya
, Morito Tsutsumi
,
Yoshiki Yamagata
研究成果
:
Article
›
査読
9
リンクは新しいタブで開きます
被引用数 (Scopus)
概要
フィンガープリント
フィンガープリント
「Weighted-average least squares applied to spatial econometric models: A monte carlo investigation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。
並べ替え順
重み付け
アルファベット順
Keyphrases
Spatial Econometrics
100%
Weighted-average Least Squares
100%
Monte Carlo Investigation
100%
Bayesian Model Averaging
55%
Least Squares Estimation
44%
Averaging Method
22%
Computational Burden
22%
Model Averaging
22%
Spatial Lag
22%
Major Components
11%
Popular
11%
Simulation Method
11%
Regressor
11%
Model Errors
11%
Model Selection Strategy
11%
Markov Chain Monte Carlo
11%
Root Mean Square Error
11%
Markov Chain Monte Carlo Methods
11%
Monte Carlo Experiment
11%
Small Sample Properties
11%
Multicollinearity
11%
Spatial Dependence
11%
Large Variance
11%
Quantity of Interest
11%
Approximate Estimation
11%
Principal Component Regression
11%
Lag Error
11%
Data Generating Process
11%
Biased Estimate
11%
Mathematics
Monte Carlo
100%
Weighted Average
100%
Least Squares Method
100%
Bayesian Model Averaging
55%
Least Square Estimation
33%
Variance
11%
Mean Square Error
11%
Square Estimator
11%
Model Selection
11%
Markov Chain Monte Carlo Method
11%
Markov Chain Monte Carlo
11%
Biased Estimate
11%
Regressors
11%
Apply It
11%
Multicollinearity
11%
Principal Component Regression
11%
Monte Carlo Method
11%
Economics, Econometrics and Finance
Bayesian
100%
Econometric Model
100%
Spatial Econometrics
100%
Markov Chain Monte Carlo
40%
Measure of Dispersion
20%
Monte Carlo Simulation
20%
Principal Components
20%
Model Selection
20%