Local Modeling in a Regression Framework
Taylor M. Oshan
No hpbd8, OSF Preprints from Center for Open Science
Abstract:
This chapter introduces the concept of local versus global models and describes one type of local model, Geographically Weighted Regression, and its recent successor, Multiscale Geographically Weighted Regression. The conceptual basis for this type of model is explained in terms of data-borrowing. An empirical example is given to demonstrate both the value of local regression models and freely available software for their calibration.
Date: 2022-05-30
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://osf.io/download/62956042ddbe492ab6a2204c/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:hpbd8
DOI: 10.31219/osf.io/hpbd8
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().