[下载]SPATIAL ECONOMETRICS(PDF)

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7658.rar (138.5 KB, 需要: 20 个论坛币) 本附件包括：

• spatial econometrics.Luc Anselin.pdf

2005-1-12 12:32:00 上传

[下载]SPATIAL ECONOMETRICS(PDF)
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[此贴子已经被作者于2005-4-12 12:22:24编辑过]

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关键词：econometrics Econometric metrics Spatial Metric 下载 PDF econometrics Spatial

挺新的论题

不错，多谢了

空间计量经济学？搂主能不能解释一下，书的名称是什么呀？

看不明白

呵呵，下载得真快，谢谢

SUGI 25: A Primer in Spatial Simulation with PROC SIM2D

http://www.asu.edu/sas/sugi25/stats/25p270.pdf

SAS: Proc SIM2D

The SIM2D procedure produces a spatial simulation for a Gaussian random field with a specified mean and covariance structure in two dimensions using an LU decomposition technique.

The simulation can be conditional or unconditional. If it is conditional, a set of coordinates and associated field values are read from a SAS data set. The resulting simulation honors these data values.

You can specify the mean structure as a quadratic in the coordinates. You can specify the covariance by naming the form and supplying the associated parameters.

PROC SIM2D can handle anisotropic and nested semivariogram models. Three covariance models are supported: Gaussian, exponential, and spherical. A single nugget effect is also supported.

You can specify the locations of simulation points in a GRID statement or they can be read from a SAS data set. The grid specification is most suitable for a regular grid; the data set specification can handle any irregular pattern of points.

The SIM2D procedure writes the simulated values for each grid point to an output data set. The SIM2D procedure does not produce any displayed output.

The SIM2D Procedure

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Overview

Getting Started

Syntax

Details

Example

References

[此贴子已经被作者于2005-2-17 8:10:53编辑过]

SAS: The VARIOGRAM Procedure

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Overview

Getting Started

Syntax

Details

Example

References

SAS: The KRIGE2D Procedure

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Overview

Getting Started

Syntax

Details

Example

References

Spatial Econometrics

Table of Contents

• Spatial Weights
• Spatial Regression Models
• Spatial Model Specification Tests
• Spatial Model Estimation
• Applications
  • Externalities: Highway, University, Real Estates
  • Industrial Spillover: Telecommunication
  • International and Interregional Comparisons: Convergence, Correlation
  • GIS/GPS Integration of Micro-Data Analysis: Crimes, Schools
  • Regional and Urban Planning
• Extensions
  • Estimation (Beyond ML): GMM, Baysian Econometric Methods
  • System of Spatial Linear Regression Equations
  • Space-Time and Spatial Panel Data Models
  • Spatial Limited Dependent Variable Models: Probit, Logit, Tobit

Readings and Case Study

• L. Anselin, Spatial Econometrics: Methods and Models, Kluwer Academic Publishers, 1988.
• J. P. LeSage, The Theory and Practice of Spatial Econometrics, 1999. (This is a 309-page book, Chapter 3 is of particular important).
• S. J. Ray and B. D. Montouri, "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Vol. 33.2, pp. 143-156. (Paper)