spgen: Creating spatially lagged variables in Stata

Keisuke Kondo

2023 Stata Conference from Stata Users Group

Abstract: This presentation introduces the new community-contributed command spgen, which computes spatially lagged variables in Stata. Spatial econometric analysis has gained attention from researchers and policymakers, and demand for its use is continuously growing among Stata users. The Sp commands are provided on Stata version 15 or later and facilitate handling of spatial data and estimation of spatial econometric models. The newly developed command spgen provides the extended function of the spgenerate command in the Sp commands to deal with a large-sized spatial dataset, such as mesh data and grid square statistics. The computation of spatially lagged variables requires a spatial weight matrix, which mathematically describes the spatially dependent structures in the matrix. However, when the spatial weight matrix is too large for the computer specs, the matrix operations may be unable to calculate spatially lagged variables in the Sp commands. The spgen command deals with this problem and provides some interesting examples of spatial data analysis.

Date: 2023-07-29
New Economics Papers: this item is included in nep-ure
References: Add references at CitEc
Citations:

Downloads: (external link)
http://repec.org/usug2023/US23_Kondo.zip

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:boc:usug23:09

Access Statistics for this paper

More papers in 2023 Stata Conference from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().