Titlebook: Spatial Econometrics; From Cross-Sectional J. Paul Elhorst Book 2014 The Author(s) 2014 Cross-Sectional Data Analysis.Spatial Econometrics.

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書目名稱Spatial Econometrics影響因子(影響力)




書目名稱Spatial Econometrics影響因子(影響力)學(xué)科排名




書目名稱Spatial Econometrics網(wǎng)絡(luò)公開度




書目名稱Spatial Econometrics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Spatial Econometrics被引頻次




書目名稱Spatial Econometrics被引頻次學(xué)科排名




書目名稱Spatial Econometrics年度引用




書目名稱Spatial Econometrics年度引用學(xué)科排名




書目名稱Spatial Econometrics讀者反饋




書目名稱Spatial Econometrics讀者反饋學(xué)科排名

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ABOUT

J. Paul Elhorst energy to achieve the “two large scale production” ahead of schedule, accelerate the transition of energy structure from energy dominated by coal to “three major components” consisting of coal, oil and gas, new energy. China’s large oil companies are responsible for making good top-level design of

monopoly

直言不諱

Flatter

Linear Spatial Dependence Models for Cross-Section Data,ial weights matrix, as well as the row-normalization procedure of the spatial weights matrix.The well-known cross-sectional dataset of Anselin (1988), explaining the crime rate by household income and housing values in 49 Columbus, Ohio neighborhoods, is used for illustration purposes.

內(nèi)向者

2192-0427 specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted.978-3-642-40339-2978-3-642-40340-8Series ISSN 2192-0427 Series E-ISSN 2192-0435

COMA

Book 2014l panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted.

esthetician

Linear Spatial Dependence Models for Cross-Section Data,well as the relationships between them. It also provides a detailed overview of the direct and indirect effects estimates that can be derived from these models. In addition, it critically discusses the stationarity conditions that need to be imposed on the spatial interaction parameters and the spat

Saline

Spatial Panel Data Models,rch are considered: the fixed effects model, the random effects model, the fixed coefficients model, the random coefficients model, and the multilevel model. Today a (spatial) econometric researcher has the choice of many models. First, he should ask himself whether or not, and, if so, which type of