Local Linear Estimation of Spatially Varying Coefficient Models: An Improvement on the Geographically Weighted Regression Technique

By Ning Wang, Changlin Mei, Xiaodong Yan. 2008

76 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/154e32ab1c146413e1b9e4c9320016eac5a57752

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

1. Antonio Páez
2. David C. Wheeler
3. Steven Farber
4. Paul Harris
5. Martin Charlton
6. Chris Brunsdon
7. Wen-bin Yang
8. Binbin Lu

Citations in the corpus

• A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011, methodology): “…of correspondence appears to be quite high when comparing simulated processes and summary measures of the estimated coefficients after a large number of replications are conducted (see Farber and Päez, 2007, figures 8 ^ 12; Päez, 2005, figures 1 ^ 5; Wang et al, 2008, figures 1 ^ 2, 7 ^ 10).”