IDEAS home Printed from https://ideas.repec.org/p/boc/usug23/09.html
   My bibliography  Save this paper

spgen: Creating spatially lagged variables in Stata

Author

Listed:
  • Keisuke Kondo

    (Research Institute of Economy, Trade and Industry)

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.

Suggested Citation

  • Keisuke Kondo, 2023. "spgen: Creating spatially lagged variables in Stata," 2023 Stata Conference 09, Stata Users Group.
    • Handle: RePEc:boc:usug23:09
    as

    Download full text from publisher

    File URL: http://repec.org/usug2023/US23_Kondo.zip
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:usug23:09. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.