PERSPECTIVES ON SPATIAL ECONOMETRICS: LINEAR SMOOTHING WITH STRUCTURED MODELS
By Daniel P. McMillen. 2012
115 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/7e589b36d128eaca587450b624553eca026acef8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Solmaria Halleck Vega
- L. Corrado
- Bernard Fingleton
- T. Panduro
- Kathrine Lausted Veie
- J. Paul Elhorst
- Tobias Ruttenauer
- Luc Anselin
Citations in the corpus
- Where is the Economics in Spatial Econometrics (2012, background): “Moulton (1986) finds that it is usually necessary to account for the grouping either in the error term or in the specification of the regressors.”
- The Slx Model (2015, methodology): “This allows for greater flexibility in the specification of W, which is an often criticized aspect of spatial econometric modeling (Corrado and Fingleton, 2012; McMillen, 2012).”
- Classification and valuation of urban green spaces—A hedonic house price valuation (2013, methodology): “In light of recent critique of the standard spatial econometric approach using a spatial weight matrix, i.e. Gibbons and Overman (2012) and McMillen (2012), the GAM model is an attractive alternative as it imposes less restrictive assumptions on the unobserved spatial processes omitted from the…”