[AM9] Spatial regression and econometrics

Many problems of the social sciences can be expressed in terms of spatial regression analysis. The development of spatial autoregressive models and the estimation of their parameters is the focus for the field of spatial econometrics.

External resources

• Anselin, L. 1988. Spatial econometrics: Methods and models. Dordrecht: Kluwer.
  ISBN number: 9789024737352
• Anselin, L. 1995. Local Indicators of Spatial Association (LISA). Geographical Analysis, 27, 93-115.
  Digital Object Identifier (DOI): 10.1111/j.1538-4632.1995.tb00338.x

Learning outcomes

• 1968 - Classify common models for spatial regression analysis.

  Classify common models for spatial regression analysis.

Self assessment

Outgoing relations

• [AM9] Spatial regression and econometrics subclassof [AM] Analytical Methods

Incoming relations

• [AM9-1] Principles of spatial econometrics subclassof [AM9] Spatial regression and econometrics
• [AM9-2] Spatial autoregressive models subclassof [AM9] Spatial regression and econometrics
• [AM9-3] Spatial filtering subclassof [AM9] Spatial regression and econometrics
• [AM9-4] Spatial expansion and Geographically Weighted Regression GWR subclassof [AM9] Spatial regression and econometrics